JP4518484B2 - Image generation program and image generation apparatus - Google Patents

Description

  The present invention relates to an image generation program and an image generation apparatus using a computer, in particular, a program for generating a natural image using a computer, and an apparatus for generating a natural image using a computer. It is about.

With the recent development of computer graphics technology, it has been widely used to draw images or automatically generate images using a computer.
In this case, image editing software having a drawing function is used. For example, an image captured in advance by a digital camera or a scanner is edited, and a filter function is used as necessary. A special effect such as “noise” is added to give a natural feeling to the generated image. However, the filter function only affects the entire image and brings about a monotonous change as a whole, and is not sufficient for generating an image full of natural feeling. In addition, in order to generate an image that gives a more natural feeling, the image editing software having such a drawing function is used to directly generate an image while skillfully operating an input device of a computer such as a mouse or a tablet. Has been made. However, this method requires skill to operate the input device of the computer, and it is not easy to generate an image (see, for example, Non-Patent Document 1).

In addition, image generation methods that apply mathematical theory such as fractal and chaos with the intention of automatically and efficiently generating an image full of natural feeling have been known (for example, Non-Patent Document 2). 3). A method using Mandelbrot and Julia sets is well known as a method applying fractals, and a method using enon mapping is well known as a method applying chaos.
In these methods, by using a graphic data generation function called a recurrence formula, new elements can be generated one after another by arbitrarily changing the elements constituting the image or graphic called coefficients (variables). However, all of them could only generate images belonging to a certain category with a wrinkle.

Shinji Miyakubo, “First Photoshop 7.0 Windows (registered trademark) version”, published by Hidekazu System, 2002 渕 Kamiyo, "Fractal CG by C", published by Science, 1993 Hiroshi Kawakami, Satoshi Ueda, "Chaos CG by C", published by Science, 1994

  Accordingly, an object of the present invention is to enable easy and automatic generation of an image full of natural feeling using a computer.

In order to solve the above problems, the present invention is a program for generating an image including at least two predetermined types of graphics, and (a) a component of each graphic included in the image to be generated by the computer A procedure for setting a graphic data generation function for outputting image generation data of each graphic, using as arguments the first parameter set related to the image and a second parameter set related to the attribute of each graphic as the component of the image; ,
(A ′) storing an initial value of each parameter of the set of the first and second parameters together with a value of a basic attribute parameter of an image to be generated;
(B) a procedure for generating random numbers;
(B ′) a procedure for calculating a value of the probability density function using the generated random number as an argument of the probability density function;
(C) using the value of the probability density function to change the value of at least one parameter of the first and second parameter sets;
(D) The value of the parameter changed in the procedure (c) is input to the graphic data generation function together with the remaining parameter values in the first and second parameter sets, and the image of each graphic output therefrom is output. A procedure for generating image data of the entire image using the generation data;
(E) a procedure for displaying or printing out an image based on the image data of the entire image generated in the procedure (d);
(F) repeating the steps (b) to (e) until a desired image is obtained;
(G) a procedure for sequentially storing the type of parameter to be changed, the initialization variable for the random number generation function, and the type of probability density function while the step (f) is performed;
(H) the initial value of each parameter and the basic attribute parameter value of the image stored in step (a ′), the type of the parameter to be changed and the random number generation function stored in step (g) A procedure for regenerating image data of the desired image using the graphic data generation function and the probability density function based on an initialization variable and the type of the probability density function, and displaying or printing out the image. And an image generation program characterized by executing the above.

According to a preferred embodiment of the present invention, the first parameter set includes at least one of a shape parameter, a color parameter, a size parameter, and a tilt parameter of each figure, and the second parameter The set includes at least one of a figure number parameter in the image and a position parameter in the image of each figure.
According to another preferred embodiment of the present invention, in the step (c), at least one of a shape parameter, a color parameter, a size parameter, and a slope parameter of the identified figure in the first parameter set. One is to be changed.

The shape parameters of each figure include, for example, the exchange of preselected figures, the aspect ratio of the figure, the position of each vertex of the figure, the length, thickness, and the degree of bending of the lines constituting the figure. As the size parameter of each figure, for example, the width, height and size of the figure, the thickness and length of the line in the figure composed only of the line, and the enlargement / reduction ratio of the figure can be mentioned.
In addition, when the color parameter of each figure is used, the color needs to be digitized. There are various quantification methods for digitizing this color, and it is not particularly limited in the present invention. For example, a color number assigned with a number to each color, a hue that is a three element of each color, Step display for brightness and saturation, quantified by spectrum or spectral reflectance as spectrochemical data, further, color function of three primary colors such as RGB, or XYZ, Lab, etc. It may be a color function.

According to still another preferred embodiment of the present invention, in the step (c), of the second parameter set, the number parameter of the figure in the image and the position parameter in the image of the identified figure At least one is changed.

In order to solve the above-mentioned problems, the present invention is also an apparatus for generating a natural image including at least two predetermined types of graphics by a programmed computer. The value of the basic attribute parameter, the first set of parameters relating to the constituent elements of each graphic included in the image to be generated, and the second parameter relating to the attributes of each graphic included in the image as the constituent elements of the image A parameter initial value input unit that receives input of initial values of each parameter of the set, a value of the basic attribute parameter of the image input from the parameter initial value input unit, and a set of the first and second parameters changes receiving each parameter and the parameter initial value recording unit for recording the initial value of the input selection of the graphic should be changed value of the parameter Probability density function for correcting a shape selecting unit, and changing the parameter selection unit for receiving an input of the selection of the first and second parameters to be changed, and a random number generator, the value of the random number output from the random number generator The probability density function selection unit that receives the input of the type of the random number, and the random number output from the random number generation unit is used as an argument of the probability density function selected by the probability density function selection unit to calculate the value of the probability density function The first and second parameters to be changed selected by the change parameter selection unit with respect to the graphic selected by the changed graphic selection unit using the output value of the random number correction unit to be output and the random number correction unit A parameter value changing unit that changes a value, a graphic data generation function unit that outputs the image generation data of each graphic with the set of the first and second parameters as an argument, The values of the first and second parameters changed by the parameter value changing unit are input to the graphic data generation function unit together with the values of the remaining parameters in the first and second parameter sets, and the graphic data generation An image data generation unit that generates image data of the entire image based on the image generation data of each graphic output from the function unit and the value of the basic attribute parameter of the image, and the image data generation unit An image output unit that displays or prints out the image to be generated based on image data of the entire image, and a series of image generation processes until a desired image is displayed on the display or printed out by the image output unit The type of figure whose parameter value was changed and the type of parameter changed And an image generation history data recording unit for sequentially recording types of initialization variables and probability density functions for random number generation functions, data recorded in the image generation history data recording unit, and data recorded in the parameter initial value recording unit The random number generator, the parameter value changer, and the graphic data generation function unit to generate the image data of the desired image again and output the image data to the image output unit; The image generating apparatus is characterized by comprising:

According to a preferred embodiment of the present invention, the first parameter set includes at least one of a shape parameter, a color parameter, a size parameter, and a tilt parameter of each figure, and the second parameter The set includes at least one of a figure number parameter in the image and a position parameter in the image of each figure.
According to another preferred embodiment of the present invention, the basic attribute parameters of the image are the vertical and horizontal sizes of the image to be generated, the number of colors used in the image, and the color of the color used in the image. It consists of a table and the resolution of the image.

According to the present invention, using a computer, the first parameter set relating to the component of each graphic included in the image to be generated and the second parameter set relating to the attribute as the component of the image of each graphic are represented by graphic data. By inputting to the generation function, data for image generation of each figure is acquired, and the first and second parameters are changed using random numbers whose appearance frequency is controlled by the probability density function, and desired image generation is performed. since use data has to be changed repeatedly image generation data to obtain, it is possible to automatically generate an image full of natural feeling.

At the same time, since the change history information of the image generation data is recorded , high-value know-how can be easily and reliably accumulated in creating a suitable design. Then, by storing such information in, for example, a server computer of a client / server system and exchanging between the client computers, it is possible to effectively utilize valuable design creation know-how and receive information. By selecting the exchange method according to the partner, it is possible to simultaneously implement measures to prevent the outflow of know-how.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. FIG. 1 is a flowchart of an image generation program according to the present invention. Referring to FIG. 1, a program according to the present invention is a program for a computer. First, as a set of first parameters relating to components of each graphic included in an image to be generated, and as components of an image of each graphic The graphic data generation function for outputting the image generation data of each graphic is set with the second parameter set relating to the attribute of the image as an argument (procedure (a) in FIG. 1). In this case, the first parameter set includes at least one of the shape parameter, the color parameter, the size parameter, and the inclination parameter of each figure, and the second parameter set is the figure number parameter in the image. , And at least one of position parameters in the image of each figure.
The shape parameters of each figure include, for example, the exchange of preselected figures, the aspect ratio of the figure, the position of each vertex of the figure, the length, thickness, and the degree of bending of the lines constituting the figure. As the size parameter of each figure, for example, the width, height and size of the figure, the thickness and length of the line in the figure composed only of the line, and the enlargement / reduction ratio of the figure can be mentioned.
In addition, when the color parameter of each figure is used, the color needs to be digitized. There are various quantification methods for digitizing this color, and it is not particularly limited in the present invention. For example, a color number assigned with a number to each color, a hue that is a three element of each color, Step display for brightness and saturation, quantified by spectrum or spectral reflectance as spectrochemical data, further, color function of three primary colors such as RGB, or XYZ, Lab, etc. It may be a color function.

Next, the program generates a random number for the computer (step (b) in FIG. 1), and uses the generated random number to set the value of at least one parameter in the first and second parameter sets. It is changed (procedure (c) in FIG. 1). In this procedure (c), at least one of the shape parameter, the color parameter, the size parameter, and the inclination parameter of the specified figure among the first parameter set is changed, and among the second parameter set, At least one of the number parameter of the figure in the image and the position parameter in the image of the specified figure is changed.

According to a preferred embodiment, the program generates a random number for the computer (after execution of step (b)), and then calculates the value of the probability density function using the generated random number as an argument of the probability density function. (Procedure (b ′)), and using the value of the probability density function instead of the random number, the value of at least one parameter of the first and second parameter sets is changed.

Then, the program inputs the value of the parameter changed in the step (c) to the computer together with the remaining parameter values in the first and second parameter sets to the graphic data generation function and outputs each graphic output from the graphic data generation function. The image data for the entire image is generated using the image generation data (step (d) in FIG. 1), and then the image is displayed on the display or printed out based on the image data for the entire image generated in step (d). (Procedure (e) in FIG. 1). Further, the program causes the computer to repeat steps (b) to (e) until a desired image is obtained (step (f) in FIG. 1).

According to a preferred embodiment, the program causes the computer to store the initial value of each parameter of the first and second parameter sets together with the value of the basic attribute parameter of the image to be generated (procedure (g in FIG. 2). )), While the procedure (f) is executed, the type of parameter to be changed, the initialization variable for the random number generation function, and the type of the probability density function are sequentially stored (procedure (h) in FIG. 2). Then, as necessary, the program instructs the computer to store the initial value of each parameter stored in step (g) and the value of the basic attribute parameter of the image, the type of parameter to be changed stored in step (h), and Based on the initialization variable of the random number generation function and the type of the probability density function, the graphic data generation function and the probability density function are used to generate the image data of the desired image again, and the image is displayed on the display or printed out. (Procedure (i) in FIG. 2).
In this way, by recording the procedure until the desired image is generated as history information, the final image data when the desired image is generated is markedly more than when recording in the BMP format or the TIFF format. Image generation information can be stored and managed with a small storage capacity.

According to another preferred embodiment, when the program obtains a desired image in step (f), the program sets the first and second parameter sets input to the graphic data generation function at that time. The values of all parameters and the values of basic attribute parameters of the image are stored (procedure (j) in FIG. 3). Then, if necessary, the program regenerates the image data of the desired image using the graphic data generation function based on the parameter value stored in step (j) to the computer. The display is displayed or printed out (procedure (k) in FIG. 3).
In this way, by recording the image generation information at the time when a desired image is generated as the final parameter value, the image can be stored with much less storage capacity than when the final image data is recorded in the BMP format or the TIFF format. Generation information can be stored and managed.

According to another preferred embodiment, when a desired image is obtained in step (f), the program stores the image data of the entire image at that time (step (l) in FIG. 4). . Then, as necessary, the program causes the computer to display the desired image again or print it out based on the image data stored in step (l) (step (m) in FIG. 4).

  Hereinafter, the image generation program according to the present invention will be described more specifically. FIG. 6 is an example of an image generated by the image generation program of the present invention, and shows an image (polka dot pattern) F1 including a large number of different perfect circles A1, A2, A3,. Is. In the present invention, "an image including at least two predetermined types of figures" includes two or more figures such as a perfect circle, a triangle, a quadrangle, and a hexagon as shown in FIG. It can be said that the image is composed of two or more figures. Further, the “graphic” means a figure such as a perfect circle, a triangle, a quadrangle, and a hexagon drawn in the image, and it can also be called a unit pattern constituting an image or a pattern. Two or more figures included in an image or design need not all have the same shape, but different kinds of figures surrounded by outlines, such as a perfect circle, triangle, quadrangle, and hexagon. There may be.

FIG. 7 is a flowchart of a program for generating the image shown in FIG. In step S1, the number of pixels of the image F1 having a width w and a height h (value of the basic attribute parameter of the image) is arbitrarily set, the width direction is X, and the height direction is Y. An image region is defined as (−Y coordinate system).
Next, in step S2, the number num (second parameter) of unit pattern perfect circles A1, A2, A3,... Included in the image F1, and the perfect circles A1, A2, A3 in the XY coordinate system. ,...,..., A variable Vgp indicating an allowable minimum value of the distance between the adjacent perfect circles A1, A2, A3,. . Next, the number counter (cnt) for counting the number num of unit pattern circles A1, A2, A3,... Included in the image F1 is set to zero, and the image set in step S1 is set in step S3. Within the region, a variable Vx-y indicating the center coordinates (xc, yc) of the perfect circle A1 is acquired by the random number output from the random number generation function in step S31. As acceptance / rejection judgment conditions (“*” in FIG. 7) at the time of acquisition, temporary center coordinates (xc ′, yc ′) are set by the random number output from the random number generation function in step S31. After confirming that there are no other perfect circles A2, A3,... In the image area whose radius is the variable Vgp set in step S2 from the position of the circle A1, the temporary center coordinates (xc ', Yc') is formally adopted as the center coordinates (xc, yc) of the perfect circle A1.

Thereafter, in step S4, a variable Vcr indicating the radius cr (first parameter) of the perfect circle A1 is acquired in step S31 by the random number output from the random number generation function. Next, in step S5, a relational expression (xc−x) ² + () between the center coordinates (xc, yc) of the perfect circle A1 obtained in step S3 and the radius cr of the perfect circle A1 obtained in step S4. yc−y) ² = (cr) ²
By filling only the pixel of the position coordinates (x, y) that satisfies the above, it is possible to obtain a perfect circle A1 representing only the contour. Thus, one perfect circle A1 is generated, and the one perfect circle A1 is counted in the number counter (cnt).

Thereafter, steps S3 to S5 are repeated several times until the number num of the perfect circles A1, A2, A3,... Set in step S2 is counted, and a predetermined number num of perfect circles A1, A2, A3 ,... Are generated. In this way, in the flowchart shown in FIG. 7, the graphic data generation functions of the graphics A1, A2, A3,... Included in the image are set by the above program. The random number is applied to the setting of the variable Vx-y of the center coordinate of the perfect circle A, which is the “position parameter in the middle”. In step S4, the variable Vcr indicating the radius of the perfect circle A, which is the “graphic size parameter”. A random number is applied to the setting of.

Next, with reference to FIG. 8 and FIG. 9, a program for generating a pattern (image) of a turtle shell pattern (graphic) will be described. FIG. 8 shows an image F2 composed of regular hexagons, which is an example of an image generated by the image generation program of the present invention. FIG. 9 shows the image of FIG. It is a flowchart of the program which produces | generates F2. In this program, first, in step S11, the number nh (second parameter) of regular hexagons A1h, A2h, A3h,... Arranged in the vertical direction, regular hexagons A1, A2, A3, arranged in the horizontal direction, ... Nw (second parameter) and the length of one side of the regular hexagon A (first parameter) are set.

Next, in step S12, the number of pixels having the width w and the height h of the image F2 (basic attribute parameters of the image) based on the number num of regular hexagons A set in step S11 and the length VL of one side of the regular hexagon. Is arbitrarily set, and an image region is defined as a two-dimensional coordinate system (XY coordinate system) in which the width direction is X and the height direction is Y.
Next, in step S13, the coordinates (xs, ys) (first parameter) of each vertex in the regular hexagonal XY coordinate system, which is the basic figure of the turtle shell figure, are calculated, and a plurality corresponding to the set number num. The vertex coordinates (xs, ys) of the regular hexagons A1, A2, A3,... Are sequentially stored as array type variables (SrcX, SrcY). Next, similarly, coordinates (xc, yc) (second parameter) of the center positions of the regular hexagons A1, A2, A3,... In the XY coordinate system are calculated, and the regular hexagons A1, A2,. The central coordinates (xc, yc) of A3,... Are sequentially stored as array type variables (CtrX, CtrY).

Next, after the number counter (cnt) for counting the number num of the regular hexagons A1, A2, A3,... Is set to zero, in step S14, the vertex coordinates (xs, ys) is sequentially called from the array type variables (SrcX, SrcY) stored in step S13.
Thereafter, the center coordinates (xc, yc) of the graphic including the vertex are sequentially called from the array type variables (CtrX, CtrY) acquired in step S13. Next, in step S15, each vertex coordinate (xs, ys) is displaced by the general figure deformation (rotation, enlargement / reduction) and movement of the vertex with respect to the vertex of the regular hexagon A acquired in step S14. It is done.

In step S16, the displacement coordinates dx, dy acquired in step S15 are added to the vertex coordinates (xs, ys) acquired in step S14, and new vertex coordinates (xs + dx, ys + dy) after displacement are calculated. It is sequentially stored as array type variables (newX, newY). At that time, one regular hexagon A1 is counted in the number counter (cnt).
Next, in step S17, the vertex coordinates (xs + dx, ys + dy) of the regular hexagon A are sequentially called from the array type variables (newX, newY) stored in step S16, and the contour of the regular hexagon A including the vertex coordinates is obtained. The image is drawn in the XY coordinates defined in step S12.

Thereafter, steps S11 to S16 are repeated several times until the number num of regular hexagons A set in step S11 is counted. In this process, a variable VL indicating the length of one side of regular hexagon A, regular six An array type variable (newX, newY) of the new center coordinates of the square A is acquired by the random number output from the random number generation function in step S31, so that the image (pattern of tortoiseshell pattern) F2 shown in FIG. Generated.

FIG. 10 is a flowchart of a program for obtaining the displacement amount of the vertex coordinates in step S15 of the flowchart shown in FIG. In the procedure S21, conditions for displacing the vertex coordinates (xs, ys) of the regular hexagon A are arbitrarily set. In this example, “Yes / No” is selected for each displacement condition of (1) rotation of figure, (2) enlargement / reduction of figure, and (3) movement of vertex, and the combination of these displacement conditions is arbitrarily set It has come to be.

When “rotation of figure” is selected as the displacement condition, in step S22, the variable Vθ indicating the rotation angle for rotating the regular hexagon A including the vertex is acquired in step S31 by the random number output from the random number generation function. The Next, the coordinate displacement amount (dxO, dyO) of the regular hexagon A is determined by the vertex coordinates (xs, ys) called in step S14 and the center coordinates (xc, yc) of the regular hexagon A including the vertexes. (1) and (2).
In step S21, when “displacement of graphic” as the displacement condition is set to “none”, the process for obtaining the coordinate displacement amount (dxO, dyO) of the regular hexagon A is not performed.

dxO = (xs−xc) × cos (Vθ)
− (Ys−yc) × sin (Vθ) + (xc−xs) (1)
dyO = (xs−xc) × sin (Vθ)
+ (Ys−yc) × cos (Vθ) + (yc−ys) (2)

When “graphic scaling” is selected as the displacement condition, in step S23, the variable Vε indicating the scaling factor for scaling the regular hexagon A including the vertex is determined by the random number output from the random number generation function in step S31. To be acquired.
Next, based on the vertex coordinates (xs, ys) called in step S14 and the center coordinates (xc, yc) of the regular hexagon A including the vertexes, the coordinate displacement amount (dx1, dy1) of the regular hexagon A is (3) and (4).
In step S21, when “selection of graphic enlargement / reduction” is set to “none” as the displacement condition, the process for obtaining the coordinate displacement amount (dx1, dy1) of the regular hexagon A is not performed.

dx1 = (Vε−1) × (xs−xc) (3)
dy1 = (Vε−1) × (ys−yc) (4)

When “movement of the vertex” is selected as the displacement condition, in step S24, the variable Vx indicating the displacement amount dx2 of the X coordinate of the vertex and the variable Vy indicating the displacement amount dy2 of the Y coordinate of the vertex are determined in step S31. Acquired by the random number output from the random number generation function.
In step S21, when “displacement of vertex” is selected as “displacement” as the displacement condition, the processing for obtaining the displacement amount (dx2 = Vx, dy2 = Vy) of the vertex coordinates of the regular hexagon A is as follows. Not done.

The displacement amounts (dxO, dyO), (dx1, dy1), and (dx2, dy2) of the vertex coordinates of the regular hexagon A are obtained according to the presence / absence of the displacement condition thus selected. In step S25, the sum of the displacement amounts acquired in steps S22, S23, and S24 (Σdxn = dxO + dx1 + dx2, Σdyn = dyO + dy1 + dy2) is acquired.

In the above specific example, the graphic data generation function for the shape of the graphic A is set as a program, and the value of the first and second parameters (variable V) input to the program (graphic data generation function) is set to a random number x. Applies. In this case, the appearance frequency f of the random number x output from the random number generation function is represented by the probability density function f (x) of the random number x, and the appearance frequency of the random number x is changed by changing the probability density function f (x). f can be controlled. That is, the value of the variable V input to the program (graphic data generation function) is not set by a random number x selected at random from a certain random number table or the like that is a random number generation function. Is changed by the probability density function f (x), so that the appearance frequency f is set by an artificially controlled random number. A typical example of the probability density function f (x) is a normal distribution function specified by the average value μ and the variance σ ² of the random number x, and the normal distribution function f (x) is expressed by the following equation.

FIG. 11 shows an image when the variable V is specified by the normal distribution function f (x) defined by the equation (5) in step S23 of the flowchart shown in FIG.
FIG. 11A shows an appearance frequency distribution curve f ₃ (x) (FIG. 11B) of a random number x in the normal distribution function f (x). When the appearance frequency f of the random number x is controlled by changing the probability density function f (x) of the random number x defined by the equation (5), a change occurs in the image F3 shown in FIG. FIG. 12 shows the changed image F4.
(FIG. 12A) and an appearance frequency distribution curve f ₄ (x) (FIG. 12B) of the random number x in the changed probability density function f (x) are illustrated.

In the specific example of FIG. 6, as the first and second parameters, a variable Vx-y indicating the coordinates of the perfect circle A and a variable Vcr indicating the radius of the perfect circle A, and in the specific example of FIG. As a parameter, a variable VL indicating the length of one side of the regular hexagon A,
The random numbers output from the random number generation function are applied to the array type variables (CtrX, CtrY) of the center coordinates of the regular hexagon A and the array type variables (SrcX, SrcY) of the vertex coordinates of the regular hexagon A. However, the random number is not limited to the first and second parameters, but is a variable indicating the color of the graphic (first parameter) or a variable indicating the number num of the graphics A1, A2, A3,. (Second parameter), which can also be applied to a variable (first parameter) indicating an allowable minimum value of the distance between figures A1, A2, A3,. By changing the probability density function, it is possible to generate various images rich in natural feeling and change by controlling the appearance frequency of random numbers.

In the process of generating the image F1 shown in FIG. 6 according to the flowchart of FIG. 7, the variable indicating the color of the perfect circle A, the variable indicating the allowable minimum value of the distance between adjacent perfect circles, and the image F1 are included. When a random number is applied to the variable indicating the number num of the perfect circles A, the image F5 shown in FIG. 13 is also generated.
In addition, in the process of generating the image F1 shown in FIG. 6 according to the flowchart of FIG. Will also generate the image F6 shown in FIG.
When applying random numbers to the displacement amounts (Σdxn, Σdyn) according to the flowchart of FIG. 10, the image F2 shown in FIG. 8 generates the images F7 and F8 shown in FIG. 10 and FIG. It will also be. A variable indicating the number nh of figures A1h, A2h, A3h,... Arranged in the vertical direction and a variable indicating the number nw of figures A1w, A2w, A3w,. When set, patterns such as curtains, wall stickers, upholstered fabrics, carpets, linoleum, and other interior materials decorated with the image F9, which are limited by pattern repeats that become a constraint when considering productivity in the manufacturing process It is possible to deal with the continuity of
An image F9 illustrated in FIG. 17 is obtained by repeating the image F8 illustrated in FIG. 16 three times vertically and horizontally.

  FIG. 5 is a block diagram showing a schematic configuration of an image generation apparatus according to the present invention. The image generating apparatus according to the present invention generates a natural image including at least two predetermined types of graphics by a programmed computer. Referring to FIG. 5, according to the present invention, the value of the basic attribute parameter of the image to be generated, the first set of parameters relating to the components of each graphic included in the image to be generated, and the image included in the image A parameter initial value input unit 1 for receiving an input of an initial value of each parameter of a second parameter set relating to an attribute as a component of an image of each figure to be changed, and a change for receiving an input of selection of a figure whose parameter value is to be changed A graphic selection unit 3 and a change parameter selection unit 2 that receives input of selection of first and second parameters to be changed are provided.

The first parameter set includes at least one of a shape parameter, a color parameter, a size parameter, and a tilt parameter of each figure, and the second parameter set includes a figure number parameter in the image, and It includes at least one of position parameters in the image of each figure.
The basic attribute parameters of the image include the vertical and horizontal sizes of the image to be generated, the number of colors used in the image, the color table of colors used in the image, and the resolution of the image.

The value of the basic attribute parameter of the image and the initial value of each parameter of the first and second parameter groups input from the parameter initial value input unit 1 are recorded in the parameter initial value recording unit 11.
In addition, a random number generation unit 4 is provided, and a probability density function selection unit 9 that receives an input of a type of probability density function for correcting the value of the random number output from the random number generation unit 4, A random number correction unit 10 that calculates and outputs the value of the probability density function using the output random number as an argument of the probability density function selected by the probability density function selection unit 9 is provided.

The image generation apparatus also uses the value output from the random number correction unit 10 to change the first and second parameters to be changed selected by the change parameter selection unit 2 with respect to the graphic selected by the changed graphic selection unit 3. And a graphic data generation function unit 6 for outputting image generation data for each graphic with a set of first and second parameters as arguments.

Further, the first and second parameter values changed by the parameter value changing unit 5 are input to the graphic data generation function unit 6 together with the remaining parameter values in the first and second parameter sets to generate graphic data. An image data generation unit 7 that generates image data of the entire image based on the image generation data of each graphic output from the function unit 6 and the value of the basic attribute parameter of the image, and an output from the image data generation unit 7 An image output unit 8 for displaying or printing out an image to be generated based on the image data of the entire image is provided.

  In addition, the image generation apparatus displays the type of figure whose parameter value is changed and the type of changed parameter in a series of image generation processes until a desired image is displayed on the display or printed out by the image output unit 8. And an image generation history data recording unit 13 for sequentially recording initialization variables and probability density function types for the random number generation function. The image generation apparatus further includes a random number generation unit 4, a parameter value change unit 5, and a graphic data generation function unit based on the data recorded in the image generation history data recording unit 13 and the data recorded in the parameter initial value recording unit 11. 6 is activated to regenerate image data of a desired image and output it to the image output unit.

  Further, when a desired image is displayed on the display or printed out by the image output unit 8, the values of all the parameters of the first and second parameter sets input to the graphic data generation function unit 6 at that time, and the image The image generation parameter value recording unit 14 for recording the values of the basic attribute parameters is provided, and the image data regeneration unit 12 stores the parameter values recorded in the image generation parameter value recording unit 14 in the graphic data generation function unit 6. By inputting, image data of a desired image is generated again and output to the image output unit 8.

Furthermore, when a desired image is displayed on the display or printed out by the image output unit 8, the image output unit 8 further includes an image data recording unit 15 that records image data of the entire image, and the image data regeneration unit 12 includes: The image data of the entire image recorded in the image data recording unit 15 is output to the image output unit 8.

  The image generation apparatus according to the present invention can be configured as a client / server system as shown in FIG. In FIG. 18, a server computer 20 and a plurality of client computers 21 are connected to a communication network 22 and, for example, a LAN is configured. The server computer 20 includes the above-described image generation history data recording unit 13, image generation parameter value recording unit 14, and image data recording unit 15, and each client computer 21 includes these components 13, 14, 15. Other components of the present invention are provided. In this way, the image data generated on each client computer 21 is stored in the server computer. If necessary, data stored in the server computer 20 is taken into the client computer 21 and used for image generation.

In this manner, valuable design creation know-how obtained on each client computer 21 is accumulated in the server computer and can be effectively used by exchanging it between the client computers. Further, in this case, the know-how can be prevented from being leaked outside the company by selecting the exchange method depending on the party receiving the information.

It is a flowchart of the image generation program by this invention. FIG. 2 is a flowchart of a subroutine that can be added to the program of FIG. 1. FIG. 6 is a flow diagram of another subroutine that may be added to the program of FIG. FIG. 3 is a flow diagram of another subroutine that may be added to the program of FIG. It is a block diagram which shows schematic structure of the image generation apparatus by this invention. It is a figure which shows an example of the image produced | generated by the image production | generation program by this invention. It is a flowchart of the program which produces | generates the image of FIG. It is a figure which shows an example of the image produced | generated by the image production | generation program by this invention. It is a flowchart of the program which produces | generates the image of FIG. FIG. 10 is a flowchart of a program for acquiring a vertex coordinate displacement amount in step S15 of the flowchart of FIG. 9; It is a figure which shows an example of the image produced | generated in the flowchart of FIG. 10, and the random number appearance frequency distribution curve at that time. It is a figure which shows the state which the image of FIG. 11 changed, and the random number appearance frequency distribution curve at that time. It is a figure which shows the state which the image of FIG. 6 changed. It is a figure which shows the state which the image of FIG. 6 changed. It is a figure which shows the state which the image of FIG. 8 changed. It is a figure which shows the state which the image of FIG. 8 changed. It is a figure which shows the state which the image of FIG. 16 changed. It is a figure which shows the Example which comprised the image generation apparatus of this invention as a client / server system.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Parameter initial value recording part 2 Change parameter selection part 3 Change figure selection part 4 Random number generation part 5 Parameter value change part 6 Graphic data generation function part 7 Image data generation part 8 Image output part 9 Probability density function selection part 10 Random number correction part 11 Parameter initial value recording unit 12 Image data regenerating unit 13 Image generation history data recording unit 14 Image generation parameter value recording unit 15 Image data recording unit

Claims (7)

A program for generating an image including at least two predetermined types of graphics, wherein (a) a first set of parameters relating to the components of each graphic included in the image to be generated, and each of the graphics A procedure for setting a graphic data generation function for outputting image generation data for each graphic, using as a parameter a second parameter set relating to the attribute of the image as a component,
(A ′) storing an initial value of each parameter of the set of the first and second parameters together with a value of a basic attribute parameter of an image to be generated;
(B) a procedure for generating random numbers;
(B ′) a procedure for calculating a value of the probability density function using the generated random number as an argument of the probability density function;
(C) using the value of the probability density function to change the value of at least one parameter of the first and second parameter sets;
(D) The value of the parameter changed in the procedure (c) is input to the graphic data generation function together with the remaining parameter values in the first and second parameter sets, and the image of each graphic output therefrom is output. A procedure for generating image data of the entire image using the generation data;
(E) a procedure for displaying or printing out an image based on the image data of the entire image generated in the procedure (d);
(F) repeating the steps (b) to (e) until a desired image is obtained;
(G) a procedure for sequentially storing the type of parameter to be changed, the initialization variable for the random number generation function, and the type of probability density function while the step (f) is performed;
(H) the initial value of each parameter and the basic attribute parameter value of the image stored in step (a ′), the type of the parameter to be changed and the random number generation function stored in step (g) A procedure for regenerating image data of the desired image using the graphic data generation function and the probability density function based on an initialization variable and the type of the probability density function, and displaying or printing out the image. And an image generation program.   The first set of parameters includes at least one of a shape parameter, a color parameter, a size parameter, and a tilt parameter of each figure, and the second parameter set is a number parameter of figures in an image. And at least one of position parameters in the image of each graphic.   2. The procedure (c), wherein at least one of a shape parameter, a color parameter, a size parameter, and an inclination parameter of a specified figure is changed from the set of the first parameters. Or the image generation program of Claim 2.   The step (c) is characterized in that at least one of a number parameter of figures in the image and a position parameter in the image of the specified figure in the second parameter set is changed. The image generation program according to any one of claims 1 to 3. An apparatus for generating a natural image including at least two predetermined types of figures by a programmed computer,
The value of the basic attribute parameter of the image to be generated, the first set of parameters relating to the components of each figure included in the image to be generated, and the components of the image of each figure included in the image as A parameter initial value input unit for receiving an input of an initial value of each parameter of the second parameter set relating to the attribute;
A parameter initial value recording unit that records the value of the basic attribute parameter of the image input from the parameter initial value input unit, and the initial value of each parameter of the set of the first and second parameters;
A change figure selection unit that receives input of selection of a figure whose value of the parameter is to be changed;
A change parameter selection unit that receives an input of selection of the first and second parameters to be changed;
A random number generator,
A probability density function selector that receives an input of a type of probability density function for correcting the value of the random number output from the random number generator;
The random number output from the random number generator, using the probability density function selected by the probability density function selection unit as an argument, calculates the value of the probability density function, and outputs a random number correction unit;
A parameter value changing unit that changes the values of the first and second parameters to be changed selected by the change parameter selecting unit with respect to the graphic selected by the changed graphic selecting unit using the output value of the random number correcting unit. When,
A graphic data generation function unit that outputs the image generation data of each graphic with the set of the first and second parameters as an argument;
The values of the first and second parameters changed by the parameter value changing unit are input to the graphic data generation function unit together with the values of the remaining parameters in the set of the first and second parameters, and the graphic data generation An image data generation unit that generates image data of the entire image based on the image generation data of each graphic output from the function unit and the value of the basic attribute parameter of the image;
An image output unit for displaying or printing out the image to be generated based on the image data of the entire image output from the image data generation unit;
In a series of image generation processes until a desired image is displayed on the display or printed out by the image output unit, the type of the figure whose parameter value is changed, the type of the changed parameter, and the initialization for the random number generation function An image generation history data recording unit for sequentially recording the types of variables and probability density functions;
Based on the data recorded in the image generation history data recording unit and the data recorded in the parameter initial value recording unit, the random number generation unit, the parameter value change unit, and the graphic data generation function unit are operated, An image generation apparatus comprising: an image data regenerating unit that regenerates image data of a desired image and outputs the image data to the image output unit. The first set of parameters includes at least one of a shape parameter, a color parameter, a size parameter, and an inclination parameter of each figure, and the second parameter set is a number parameter of figures in an image. The image generation apparatus according to claim 5, further comprising at least one of position parameters in the image of each graphic. The basic attribute parameters of the image include the vertical and horizontal sizes of the image to be generated, the number of colors used in the image, the color table of colors used in the image, and the resolution of the image. The image generation apparatus according to claim 5, wherein:

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