JP6109015B2 - Fiber state measuring device and fiber state measuring method - Google Patents

Description

  The present invention relates to a fiber state measuring apparatus and a fiber state measuring method for measuring a fiber state in fiber reinforced concrete.

  Fiber reinforced concrete in which fibers such as steel fibers, carbon fibers, and glass fibers are mixed is known. Here, the amount (dispersion state) and orientation (orientation state) of the fibers contained in a specific region in the fiber reinforced concrete are the bending strength of the fiber reinforced concrete (hereinafter sometimes simply referred to as “strength”) and the bending. It is known to be an important factor affecting strength characteristics such as toughness. Hereinafter, the amount (dispersion state) and orientation (orientation state) of fibers in the fiber reinforced concrete may be simply referred to as “fiber state”.

Conventionally, a strength estimation method for estimating the strength of fiber reinforced concrete from the amount and direction of fibers in fiber reinforced concrete is known (see Patent Document 1).
In the strength estimation method described in Patent Document 1, the amount and direction of fibers are evaluated based on the difference in shade and shadow of the X-ray image, and the strength of the fiber-reinforced concrete is estimated based on them.

In Patent Document 1, as a method for evaluating the dispersion state of fibers, an X-ray image is arbitrarily divided, an average density in each divided image (A ₁ , A ₂ ...) Is obtained, and the degree of the average density is calculated. A method for comparison with a reference value is disclosed (see in particular paragraphs 0014-0015). That is, in the intensity estimation method described in Patent Document 1, the amount of fibers is evaluated by the average density of X-ray images in a specific region.

Further, in Patent Document 1, as a method of evaluating the fiber direction, in each divided image (A ₁ , A ₂ ...) Obtained by dividing an X-ray image, the position of both ends of the fiber is confirmed from the shadow and the line segment is confirmed. And the projection lengths X _n (cosine length) and Y _n (sine length) in the X and Y directions are obtained from the lengths of the line segments, and the projection lengths X _n (cosine length) and Y _n ( A method for determining the direction in which the fiber is oriented in the X, Y, or Z direction from the (sine length) is disclosed (particularly, paragraphs 0016 to 0017).

  And in the strength estimation method described in Patent Document 1, the strength of fiber reinforced concrete is estimated by multiplying the strength obtained from the amount of fiber by the reduction coefficient obtained from the fiber direction (particularly, paragraph). 0018-0021).

Japanese Patent No. 3194826 (paragraphs 0015 to 0022, FIG. 3)

  In the technique described in Patent Document 1, when the amount of fiber is evaluated, the influence of the aggregate amount, cement ratio, concrete sample thickness, and the like is added to the average concentration. Therefore, in order to obtain a correlation between the degree of average concentration with respect to the reference value and the amount of fibers, it is necessary to clarify in advance the relationship between the amount of fibers and the average concentration for each concrete sample. Therefore, development of a method capable of measuring the fiber dispersion state more efficiently is desired.

  In the technique described in Patent Document 1, when evaluating the fiber direction, it is necessary to visually extract the fibers one by one from the X-ray image and then measure the angle of the extracted fiber. Therefore, it is desired to develop a method that can measure the fiber direction more efficiently.

  Moreover, in the technique described in Patent Document 1, although the strength of the fiber reinforced concrete is finally estimated, the fiber state (fiber dispersion state, which is an important factor affecting the strength characteristics of the fiber reinforced concrete) Alignment state etc.) cannot be evaluated quantitatively. Therefore, when trying to evaluate fiber reinforced concrete using a new quality control method based on characteristics other than strength, it is difficult to perform the evaluation. Therefore, development of a method for quantitatively measuring the fiber state (fiber dispersion state, orientation state, etc.) is strongly desired.

  The present invention has been made in view of the above problems, and a fiber state measuring device that can efficiently and quantitatively measure the fiber state (fiber dispersion state, orientation state, etc.) of fiber reinforced concrete, It is another object of the present invention to provide a fiber state measuring method.

  In order to solve the above-mentioned problems, a fiber state measuring apparatus according to the present invention is a fiber state measuring apparatus that measures the state of fibers in the fiber reinforced concrete from an X-ray image of fiber reinforced concrete. A binarized image creating means for creating a binarized image in which a fiber part is binarized so as to be distinguishable with respect to other parts, and the binarized image is divided into a plurality of divided regions and the divided Binarized image dividing means for recognizing fibers existing in the region, representative value calculating means for calculating a representative value representing the state of the fibers existing in the divided region based on an index correlated with the state of the fiber, and And a representative value output means for outputting a representative value.

Here, when the binarized image dividing unit recognizes the fibers of the divided region as a line segment, the representative value calculating unit sets the angle within a predetermined angle range from the line segment existing in the divided region. Extracting the included line segments, using the total length of the extracted line segments and the reference value determined for each predetermined angle range , calculating the sum of sine lengths and the sum of cosine lengths , and calculating The ratio between the sum of the sine lengths and the sum of the cosine lengths may be the representative value.

  In the case where the binarized image dividing unit recognizes the fibers in the divided region as a line segment, the representative value calculating unit calculates the total length of the line segments existing in the divided region as the representative value. It may be a value.

  According to the present invention, the fiber state (fiber dispersion state, orientation state, etc.) of fiber reinforced concrete can be measured efficiently and quantitatively.

It is a block diagram of the fiber state measuring device concerning an embodiment. Fig.2 (a) is a figure for demonstrating the X-ray image which the fiber state measuring apparatus which concerns on embodiment acquires, FIG.2 (b) is the binary which the fiber state measuring apparatus which concerns on embodiment creates. FIG. 2C is a diagram for explaining a state in which the fiber state measurement device according to the embodiment has divided the binarized image. It is a figure for demonstrating the division area | region which the fiber condition measuring apparatus which concerns on embodiment divided | segmented the binarized image. It is a figure for demonstrating the process of the dispersibility representative value calculation means of the fiber state measuring apparatus which concerns on embodiment. It is a figure for demonstrating the process of the orientation representative value calculation means of the fiber state measuring apparatus which concerns on embodiment. It is the contour figure which showed the dispersibility of the fiber quantitatively. It is the contour figure which showed the orientation of the fiber quantitatively. It is a flowchart which shows the whole process of the fiber state measuring method which concerns on embodiment.

DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments for carrying out the present invention will be described in detail with reference to the drawings as appropriate.
Each figure is only schematically shown so that the invention can be fully understood. Therefore, the present invention is not limited to the illustrated example. In the drawings to be referred to, dimensions of members constituting the present invention may be exaggerated for clarity of explanation. In addition, in each figure, about the same component or the same component, the same code | symbol is attached | subjected and those overlapping description is abbreviate | omitted.

[Embodiment]
<< Configuration of Fiber State Measuring Device According to Embodiment >>
With reference to FIG. 1, the structure of the fiber state measuring apparatus 1 which concerns on embodiment is demonstrated.
The fiber state measuring device 1 measures the fiber state in the fiber reinforced concrete. Here, the fiber reinforced concrete is concrete reinforced by mixing fibers such as steel fibers, carbon fibers, and glass fibers. The fiber state is the state of fibers in the fiber reinforced concrete, and is expressed by the amount (dispersibility) and orientation (orientation) of fibers contained in a specific region in the fiber reinforced concrete. The fiber state affects the strength properties of the fiber reinforced concrete.

The fiber state measuring device 1 acquires X-ray image data from the X-ray image capturing device 2.
The X-ray image capturing apparatus 2 captures an X-ray image of a fiber reinforced concrete that is a fiber state measurement target. The configuration and specifications of the X-ray imaging apparatus 2 are not particularly limited. What is necessary is just to select what the X-ray permeate | transmits the fiber reinforced concrete used as imaging | photography object, and can obtain a clear X-ray image as the X-ray image imaging device 2. FIG. The X-ray imaging apparatus 2 includes, for example, an X-ray irradiation apparatus (not shown) that irradiates X-rays, and an imaging plate (not shown) arranged to face the X-ray irradiation apparatus. Is done. Then, the X-ray image capturing apparatus 2 records the captured X-ray image as X-ray image data.

  FIG. 2A is an image (X-ray image) of X-ray image data captured and recorded by the X-ray image capturing apparatus 2. Fibers are represented by white lines in the X-ray image shown in FIG. The fibers are present in a dispersed state throughout the fiber reinforced concrete. The X-ray imaging apparatus 2 outputs X-ray image data to the fiber state measuring apparatus 1. For example, the X-ray imaging apparatus 2 outputs X-ray image data to the fiber state measuring apparatus 1 using a communication line. The X-ray imaging apparatus 2 outputs the X-ray image data to a transportable recording medium.

The fiber state measuring apparatus 1 includes a binarized image creating unit 10, a binarized image dividing unit 20, a representative value calculating unit 30, and a representative value output unit 40.
Here, the binarized image creating means 10, the binarized image dividing means 20, the representative value calculating means 30, and the representative value outputting means 40 are programs stored in a ROM (not shown) by a CPU (Central Processing Unit). It is realized by a program execution process realized by developing in a RAM (Random Access Memory), a dedicated circuit, or the like. Hereinafter, each structure of the fiber state measuring apparatus 1 will be described in detail.

(Binary image creation means)
The binarized image creating means 10 binarizes the X-ray image.
X-ray image data is input from the X-ray imaging apparatus 2 to the binarized image creating means 10. The binarized image creating means 10 creates a binarized image obtained by binarizing the fiber portion (fiber group) of the X-ray image so as to be distinguishable from other portions (for example, concrete) (FIG. 2). (See (b)). For example, the binarized image creating means 10 converts the pixel exceeding the threshold in the X-ray image data into a white pixel as a pixel corresponding to the fiber portion, with the luminance that can be clearly extracted from the fiber portion as a threshold. Pixels that do not exceed the threshold value are converted into black pixels as pixels corresponding to other portions (for example, concrete). If the X-ray image includes a reinforcing bar or the like, for example, a human makes a determination and forcibly removes it, or when the binarized image creation means 10 has a certain number of both primes or more, the reinforcing bar is automatically Judgment is made at and excluded. In FIG.2 (b), the fiber part is represented by white and the part other than a fiber is represented by black.

  The binarized image creating means 10 may be realized by general image processing software, or may be realized by software using advanced image processing technology such as wavelet transform processing used in crack image processing technology. Good. Then, the binarized image creating unit 10 outputs the binarized image data to the binarized image dividing unit 20.

(Binary image segmentation means)
The binarized image dividing unit 20 divides the binarized image into a plurality of regions (divided regions) and recognizes fibers present in the divided regions. Note that the order of the process of dividing the binarized image into divided regions and the process of recognizing existing fibers may be reversed. Therefore, the binarized image dividing unit 20 may recognize fibers existing in the binarized image and then divide the binarized image.

  The binarized image dividing unit 20 receives binarized image data from the binarized image creating unit 10. The binarized image dividing means 20 divides the binarized image into M (positive integer) in the vertical direction (Y direction) and N (positive integer) in the horizontal direction (X direction) (FIG. 2C). )reference). For example, the binarized image dividing unit 20 determines to which divided region the pixels constituting the binarized image data belong using the coordinates. FIG. 2C shows a case in which the image is divided into six parts in the vertical direction (Y direction) and 25 parts in the horizontal direction (X direction).

  The binarized image dividing unit 20 recognizes the fiber portion of the divided area as a figure. The figure here is a concept including a line segment, a rectangle and the like. For example, the binarized image dividing unit 20 converts the fiber portion into a graphic by performing a stranding process connecting both end points of the fiber portion and a contour line processing for tracking the contour line. The binarized image dividing unit 20 may be realized by general image processing software. FIG. 3 shows a case where the binarized image dividing means 20 forms a graphic as a line segment S of the fiber portion of the divided area. Here, m (1 ≦ m ≦ M) is a number for identifying a row of the divided region, and n (1 ≦ n ≦ N) is a number for identifying a column of the divided region. Then, the binarized image dividing unit 20 outputs the binarized image to the representative value calculating unit 30.

  In addition, when one fiber is straddling a some division area, it is good to divide a fiber for every area and to recognize as a plurality of line segments S which exist in each area. In addition, when a plurality of fibers are overlapped, the recognition method as a line segment may be changed depending on the overlapping method. For example, when two fibers intersect at “approximately 0 °”, they are recognized as the same line segment S, and the two fibers are “other than approximately 0 ° (for example, in a range of 10 ° to 90 °)”. When intersecting, it may be recognized as another line segment S. When recognizing as another line segment, the fiber may be divided at each intersection, and the intersection and the end point of the fiber may be recognized as the line segment S.

(Representative value calculation means)
The representative value calculating means 30 calculates a representative value representing a plurality of line segments S included in the divided region (m, n) based on an index (fiber angle, length, etc.) correlated with the fiber state. It is. Here, the fiber dispersibility and orientation are assumed as the fiber state in the fiber reinforced concrete. Then, “fiber length” is used as an index of fiber dispersibility, and “fiber direction” is used as an index of fiber orientation.

  The representative value calculating means 30 is composed of a plurality of means depending on the type of fiber state to be calculated. The representative value calculation means 30 in this embodiment includes a dispersibility representative value calculation means 30A for quantitatively evaluating “fiber dispersibility” which is one of the fiber states, and “fiber orientation” which is one of the fiber states. Orientation ”representative value calculating means 30B for quantitatively evaluating the“ characteristic ”.

(Dispersibility representative value calculation means)
The binarized image is input from the binarized image dividing unit 20 to the dispersibility representative value calculating unit 30A. The dispersibility representative value calculation means 30A calculates the total length of the line segment S included in the specific divided region (m, n) as the representative value of the divided region (m, n) regarding the dispersibility of the fiber. . Referring to FIG. 4, when two fibers are included in one divided region, the dispersibility representative value calculating unit 30 </ b> A includes the length L <b> 1 of the line segment S <b> 1 and the length L <b> 2 of the line segment S <b> 2 And (L1 + L2) is calculated as a representative value of the divided region (m, n) for the dispersibility of the fiber.

  Here, the dispersibility representative value calculation unit 30A sets the number of pixels (unit: pixel) arranged in the line segment S (S1, S2) as the length L (L1, L2) of the line segment S. The dispersibility representative value calculating unit 30A calculates the length (m) per pixel from the resolution of the X-ray image or the binarized image, and calculates the length per pixel to the number of pixels arranged in the line segment S. A value obtained by multiplying (m) may be the length L of the line segment S.

The length L (L1, L2) of the line segment S (S1, S2) is affected by the length of the fiber itself and the orientation in the depth direction (direction orthogonal to the X direction and the Y direction). Therefore, even if the length of the fiber itself is the same, the length L of the line segment S of the fiber may be different.
Then, the dispersive representative value calculating unit 30A calculates the sum of the length L of the line segment S for each of the M × N divided regions, and the representative value (dispersed representative value) of each divided region is the representative value output unit. Output to 40.

(Orientation representative value calculation means)
A binarized image is input from the binarized image dividing unit 20 to the orientation representative value calculating unit 30B. The orientation representative value calculating unit 30B extracts a line segment S included in a predetermined angle range from the line segments S existing in the specific divided region (m, n). The orientation representative value calculation means 30B calculates the sine length and cosine length of the line segment S extracted using a reference value (for example, an average value, a median value, etc.) determined for each predetermined angle range. The ratio of the sum of sine lengths to the sum of cosine lengths is calculated as a representative value for the fiber orientation. When the line segment S is bent, for example, the line segment S included in the predetermined angle range may be extracted using a tangent at a specific position (for example, the middle) of the line segment S.

  For example, the orientation representative value calculating unit 30B sets the horizontal direction (X direction) to “0 °”, and divides the range from “0 °” to “180 °” into 18 sections every “10 °”, The length L of the line segment S included in the angle range is calculated. FIG. 5 shows a case where the line segment S1 having an angle “45 °” and the line segment S2 having an angle “30 °” exist in the same divided region. The orientation representative value calculating unit 30B extracts the line segment S1 as being included in the angle range “40 ° or more and less than 50 °”, and calculates the length L1 of the extracted line segment S1. Further, the orientation representative value calculating unit 30B extracts the line segment S2 as being included in the angle range “30 ° or more and less than 40 °”, and calculates the length L2 of the extracted line segment S2. Here, the calculation method of the length L (L1, L2) of the line segment S (S1, S2) is the same as that of the dispersibility representative value calculation means 30A.

Next, the orientation representative value calculation means 30B calculates the total (total extension) of the length L of the line segment S included in each angle range, and the sine length (vertical component length) from the calculated total extension, And cosine length (horizontal component length) is calculated. That is, the orientation representative value calculating unit 30B calculates “ΣL _θ × sin θ” and “ΣL _θ × cos θ” for each angle range. Here, “ΣL _θ ” is the sum of the lengths L of the line segments S included in a certain angle range, and “θ” is a reference value for each angle range (for example, an average value of a certain angle range, When it is “40 ° or more and less than 50 °”, it is “45 °”).

Further, the orientation representative value calculating means 30B calculates the total L _y of the sine length (vertical component length) in all angle ranges (18 sections in the present embodiment) and cosine length (horizontal component) in each divided region. obtaining the sum _{L x} length). Then, the orientation representative value calculating means 30B uses the common logarithmic value of the ratio of the total sine length L _y and the total cosine length L _x , that is, “log ₁₀ (L _y / L _x )” as a representative orientation value. Calculate as The representative value of this orientation indicates that the closer the value is to “0 (zero)”, the more equal the ratio between the sine length and the cosine length (that is, the smaller the ratio of fibers facing a specific direction). On the other hand, the representative value of orientation indicates that the greater the positive value, the greater the proportion of the sine length, and the smaller the negative value, the greater the proportion of the cosine length.

Then, the orientation representative value calculation means 30B calculates a common logarithm value of the ratio of the total sine length L _y of the line segments and the total cosine length L _x for each of the M × N divided regions. The logarithmic value is output to the representative value output means 40 as a representative value of orientation in each divided region (orientation representative value).

(Representative value output means)
The representative value output means 40 outputs (displays) the representative values for the divided areas so as to be visible. The representative value output means 40 receives the representative values of M × N divided regions from the dispersibility representative value calculation means 30A and the orientation representative value calculation means 30B. Then, for example, the representative value output means 40 performs a complement process (for example, a linear complement process) between the representative values, and creates a contour diagram.

FIG. 6 is a contour diagram showing the total length (dispersion representative value) of the line segments included in the divided areas. That is, FIG. 6 is a contour diagram quantitatively showing the dispersibility of the fibers.
In FIG. 6, the intersections of the meshes correspond to the divided areas, and the dispersion representative values of the divided areas are shown. Therefore, the quantity at each intersection indicates the total length of the line segments included in each divided area. Linear interpolation is used between the intersections. In FIG. 6, the larger the total length of the line segments included in the divided area, the darker the color, and the smaller the total length of the line segments included in the divided area, the lighter the color.

FIG. 7 is a contour diagram showing common logarithm values (orientation representative values) of the ratio between the total sine length L _y and the total cosine length L _x of the line segments included in the divided region. That is, FIG. 7 is a contour diagram quantitatively showing the orientation of the fibers.
In FIG. 7, the intersection of meshes corresponds to the divided area, and the orientation representative value of the divided area is shown. Therefore, the number of each intersection indicates the common logarithm of the ratio of the sum L _x summation L _y and cosine length of the sine length of the line segments included in each divided area. Linear interpolation is used between the intersections. In FIG. 7, the larger the common logarithm of the ratio between the total sine length L _y and the total cosine length L _x of the line segments included in the divided area, the darker the color, and the sine length of the line segments included in the divided area. The smaller the common logarithmic value of the ratio between the total sum L _y and the total cosine length L _x , the lighter the color.

Then, the representative value output means 40 outputs the contour diagrams shown in FIGS. 6 and 7 to a display device (not shown).
Above, description is complete | finished about the structure of the fiber state measuring apparatus 1 which concerns on embodiment.

<< Fiber state measuring method according to the embodiment >>
Below, with reference to FIG. 8, the fiber state measuring method using the fiber state measuring apparatus 1 is demonstrated.
The fiber state measuring device 1 first creates a binarized image. Specifically, the binarized image creating means 10 acquires X-ray image data, and binarizes the acquired X-ray image data to create a binarized image (step S10). Subsequently, the fiber state measuring device 1 divides the binarized image and recognizes existing fibers. Specifically, the binarized image dividing means 20 divides the binarized image into a plurality of divided areas, and recognizes the fibers as line segments by subjecting the fiber portions in the divided areas to a stranding process (step S20). ).

Next, the fiber state measuring device 1 calculates a representative value for each divided region regarding the dispersibility of the fiber. Specifically, the dispersibility representative value calculating unit 30A calculates the total of the lengths L of the line segments S existing in the divided areas as the dispersion representative value (step S30). Subsequently, the fiber state measuring device 1 calculates a representative value for each divided region regarding the orientation of the fiber. Specifically, the orientation representative value calculating means 30B calculates the total of the length L of the line segment S for each predetermined angle, and calculates the sine length and cosine length of the calculated total length L of the line segment S, respectively. To do. Then, a ratio between the total sine length L _y and the total cosine length L _x in all angle ranges is calculated as an orientation representative value (step S40). Here, the common logarithmic value “log ₁₀ (L _y / L _x )” of the ratio between the total sine length L _y and the total cosine length L _x may be calculated as a representative value.

Next, the fiber state measuring apparatus 1 quantitatively outputs (displays) the dispersibility of the fibers and the orientation of the fibers. Specifically, the contour representative value calculation means 30A outputs a contour diagram (see FIG. 6) showing the dispersibility of the fiber based on the representative dispersion value for each divided region calculated in step S30. Further, the orientation representative value calculating means 30B outputs a contour diagram (see FIG. 7) showing the orientation of the fiber based on the orientation representative value for each divided region calculated in step S40 (step S50).
This is the end of the description of the fiber state measurement method according to the embodiment.

  As described above, the fiber state measurement device 1 according to the present embodiment calculates the length and angle of the fiber from the binarized image obtained by binarizing the X-ray image. Therefore, the fiber state measuring apparatus 1 according to the present embodiment efficiently determines the length and angle of the fiber serving as an index that correlates with the fiber state (the amount (dispersibility) and orientation (orientation)) of the fiber reinforced concrete. Can be obtained.

  In addition, the fiber state measurement device 1 according to the present embodiment divides a binarized image into divided regions, and represents the fibers present in the divided regions based on the length and angle of the fiber that is an index correlating with the fiber state. A representative value is calculated. Therefore, the fiber state measuring apparatus 1 according to the present embodiment can quantitatively measure the fiber state of the fiber reinforced concrete for each place.

  In addition, the fiber state measurement device 1 according to the present embodiment creates a contour diagram by performing complement processing (for example, linear complement processing) between representative values representing fibers existing in the divided regions. Therefore, the fiber state measuring device 1 according to the present embodiment can quantitatively display the fiber state of the fiber reinforced concrete for each place.

[Modification]
As mentioned above, although embodiment of this invention was described, this invention is not limited to this, It can implement in the range which does not change the meaning of a claim. The modification of embodiment is shown below.

As shown in FIG. 1, the fiber state measuring apparatus 1 according to the embodiment includes a binarized image creating unit 10, a binarized image dividing unit 20, a representative value calculating unit 30, and a representative value output unit 40. However, each unit may be provided in a separate device. In that case, the operator may instruct the data input of each device or the start of processing.
In the present embodiment, the fiber state measuring apparatus 1 is provided separately from the X-ray image capturing apparatus 2, but the X-ray image capturing apparatus may be provided inside the fiber state measuring apparatus 1.

In addition, the fiber state measuring apparatus 1 according to the embodiment forms the fiber portion of the divided region as a line segment S by the binarized image dividing means 20 performing a stranding process that connects both end points of the fiber portion. A case was assumed (see FIG. 3). However, the binarized image dividing means 20 may perform a contour line process for tracking the contour line of the fiber part to form the fiber part of the divided region as a rectangle (for example, a rectangle).
In that case, the dispersibility representative value calculating means 30A and the orientation representative value calculating means 30B are preferably configured such that the number of pixels (unit: pixel) constituting the side in the longitudinal direction of the rectangle is the length of the rectangle. Further, the number of pixels constituting the outline of all sides of the rectangle (unit: pixel) is divided by “2” to calculate the approximate number of pixels arranged in the longitudinal direction of the rectangle, and may be the length of the rectangle. .

  In addition, the orientation representative value calculating unit 30B according to the embodiment divides the range up to “180 °” into 18 sections every “10 °” with the horizontal direction (X direction) being “0 °”, and each angular range. The length L of the line segment S included in is calculated. However, the division is not limited to 18 divisions, and the angle range can be arbitrarily determined. For example, the angle range may be “5 °” or “20 °”.

  Further, the fiber state measuring apparatus 1 according to the embodiment calculates the sine length and cosine length of the line segment S extracted by the orientation representative value calculating unit 30B using the average value in the predetermined angle range. However, the orientation representative value calculation unit 30B may use an average value, a median value, or a standard deviation of angles of a plurality of line segments S included in the predetermined angle range.

  Moreover, the fiber state measuring apparatus 1 which concerns on embodiment has the contour figure (refer FIG. 6) which showed the dispersibility of the fiber quantitatively, and the contour figure (FIG. 7) which showed the orientation of the fiber quantitatively. Although created separately, you may produce one contour figure which shows quantitatively the dispersibility of a fiber and the orientation of a fiber. For example, the information on the orientation of the fibers in FIG. 7 is replaced with an arrow, and the information is displayed on the intersection of the contour diagram quantitatively showing the dispersibility of the fibers shown in FIG. At this time, it is preferable to represent the orientation representative value using the length and direction of the arrow.

  Moreover, although the fiber state measuring method which concerns on embodiment performed the orientation representative value calculation process in step S40 after performing the dispersibility representative value calculation process in step S30 of FIG. 8, the order of these processes is The reverse is also possible. That is, the dispersibility representative value calculation process may be performed after the orientation representative value calculation process. These processes can also be performed in parallel.

DESCRIPTION OF SYMBOLS 1 Fiber state measuring apparatus 2 X-ray imaging apparatus 10 Binary image creation means 20 Binary image division means 30 Representative value calculation means 30A Dispersibility representative value calculation means 30B Orientation representative value calculation means 40 Representative value output means S line segment

Claims (4)

A fiber state measuring device for measuring a state of fibers in the fiber reinforced concrete from an X-ray image of the fiber reinforced concrete,
A binarized image creating means for creating a binarized image in which the fiber portion of the X-ray image is binarized so as to be distinguishable with respect to other portions;
A binarized image dividing means for dividing the binarized image into a plurality of divided regions and recognizing fibers present in the divided regions;
Based on an index that correlates with the state of the fiber, representative value calculating means for calculating a representative value that represents the state of the fiber present in the divided region;
Representative value output means for outputting the representative value ,
The binarized image dividing means recognizes the fibers of the divided areas as line segments,
The representative value calculating means includes
The line segments included in a predetermined angle range are extracted from the line segments existing in the divided region, and the total length of the extracted line segments and a reference value determined for each predetermined angle range are used. To calculate the sum of sine length and cosine length ,
The ratio of the calculated sum of the sine lengths and the sum of the cosine lengths as the representative value,
A fiber state measuring device characterized by that. A fiber state measuring device for measuring a state of fibers in the fiber reinforced concrete from an X-ray image of the fiber reinforced concrete,
A binarized image creating means for creating a binarized image in which the fiber portion of the X-ray image is binarized so as to be distinguishable with respect to other portions;
A binarized image dividing means for dividing the binarized image into a plurality of divided regions and recognizing fibers present in the divided regions;
Based on an index that correlates with the state of the fiber, representative value calculating means for calculating a representative value that represents the state of the fiber present in the divided region;
Representative value output means for outputting the representative value ,
The binarized image dividing means recognizes the fibers of the divided areas as line segments,
The representative value calculating means includes
The sum of the lengths of the line segments existing in the divided area is used as the representative value.
A fiber state measuring device characterized by that. A fiber state measuring method for measuring a state of fibers in the fiber reinforced concrete from an X-ray image of the fiber reinforced concrete,
A binarized image creating step for creating a binarized image in which the fiber portion of the X-ray image is binarized so as to be distinguishable with respect to other portions;
Dividing the binarized image into a plurality of divided regions, and binarized image dividing step for recognizing fibers present in the divided regions;
Based on an index correlating with the state of the fiber, a representative value calculating step for calculating a representative value representing the state of the fiber present in the divided region;
Have a, a representative value output step of outputting the representative value,
The binarized image dividing step recognizes the fibers of the divided regions as line segments,
The representative value calculating step includes:
The line segments included in a predetermined angle range are extracted from the line segments existing in the divided region, and the total length of the extracted line segments and a reference value determined for each predetermined angle range are used. Calculating a sum of sine lengths and a sum of cosine lengths ;
The ratio of the calculated sum of the sine lengths and the sum of the cosine lengths as the representative value;
The fiber state measuring method characterized by having. A fiber state measuring method for measuring a state of fibers in the fiber reinforced concrete from an X-ray image of the fiber reinforced concrete,
A binarized image creating step for creating a binarized image in which the fiber portion of the X-ray image is binarized so as to be distinguishable with respect to other portions;
Dividing the binarized image into a plurality of divided regions, and binarized image dividing step for recognizing fibers present in the divided regions;
Based on an index correlating with the state of the fiber, a representative value calculating step for calculating a representative value representing the state of the fiber present in the divided region;
Have a, a representative value output step of outputting the representative value,
The binarized image dividing step recognizes the fibers of the divided regions as line segments,
The representative value calculating step includes:
The total value of the lengths of the line segments existing in the divided area as the representative value;
The fiber state measuring method characterized by having.