JP6494409B2 - Cooked rice quality inspection system and cooked rice quality inspection system program - Google Patents

Description

  The present invention relates to a quality inspection system for cooked rice and a program thereof, and more specifically, based on a model rice image data group created in advance, a quality inspection relating to the texture of cooked rice to be inspected is automatically performed by computer processing. TECHNICAL FIELD The present invention relates to a rice cooker rice quality inspection system and its program.

  Conventionally, regarding quality inspection of cooked rice, it has been considered that ingredients such as sweetness derived from starch are important among tastes.

  However, in recent years, attention has been paid to not only sweetness but also texture (physical sensation when eating) as an important factor.

  As for the inspection and analysis related to the texture, there is only the conventional handling analysis (the analysis is performed by the inspector including the cooked rice in the mouth), and this is automated by computer processing. It is hoped that.

  Patent Document 1 includes a light source for irradiating the surface of cooked rice with diffused light, an imaging unit that images the surface of the cooked rice that is irradiated by the light source, and outputs image data including luminance information; An appearance evaluation unit for evaluating the appearance of the cooked rice based on the image data from the imaging unit, and the appearance evaluation unit is based on the image data from the imaging unit. Using a luminance acquisition unit that configures a part of the image and acquires a luminance value for each partial region having a preset size, and the luminance value for each partial region acquired by the luminance acquisition unit, An average luminance calculation unit that calculates an average luminance value of all the images, and a luminance value that is equal to or lower than a first set ratio that is a preset ratio with respect to the average luminance value calculated by the average luminance calculation unit In partial area The partial region area calculation unit for calculating the area of the first partial region, and the ratio of the area of the first partial region calculated by the partial region area calculation unit to the area of the entire partial region is evaluated for the appearance of the cooked rice An appearance evaluation apparatus for cooked rice that includes an appearance evaluation value calculation unit that calculates the value has been proposed.

  However, in the case of the appearance evaluation apparatus for cooked rice in Patent Document 1, the surface of the cooked rice is imaged to obtain the image data, the average luminance value is calculated, and the appearance evaluation value of the cooked rice is based on this. It is a required structure, and automatically and inspects and analyzes each area of the standard grains that do not impair the texture of cooked rice, rough grains, cracked grains with a sense of incongruity, and kneaded grains that feel sticky. It is not possible to quickly determine whether the product is good or bad.

JP2012-112802A

  The problem to be solved by the present invention is that the areas of the reference grains that do not impair the texture of the cooked rice and the roughness, the cracked grains that have a sense of incongruity, and the areas of the kneaded grains that feel sticky are mainly inspected in a list visually. There is no conventional quality inspection system for cooked rice that can be analyzed to quickly determine the quality of the texture.

  The quality inspection system for cooked rice according to the present invention images the surface of cooked rice from which a model is created, outputs an image data thereof, and stores the image data of the cooked rice from the image pickup unit. A storage unit, a display unit that displays the image data of the cooked rice on a screen, and a manual operation using computer image processing while viewing the image data of the cooked rice displayed on the screen in a display form of the image data Correspondingly, a reference region that means an area of a reference grain that does not impair the texture, a manual operation means that color-codes a non-reference area that means a grain other than the reference grain that may impair the texture, a color-coded reference area, An area calculation unit that calculates each ratio of the non-reference area to the entire image area, and the image data that is provided and color-coded, the ratio of each area, and the image data of the cooked rice from which the model is created are associated with the cooked rice of Model cooking rice image data to be the basis of quality inspection is created, these processes are performed an arbitrary number of times and stored in the storage unit as a model cooking rice image data group, and the imaging unit also for cooked rice to be inspected The surface is imaged an arbitrary number of times, the image data group is acquired, and the texture of individual image data of the image data group to be inspected by computer image processing with reference to the model cooked rice image data group is not impaired Inspect the reference area, which means the area of the reference grain, and the non-reference area that may impair the texture, and calculate the ratio of the color-coded reference area and non-reference area to the total image area. The main thing that the target cooked rice image data group was generated and the quality inspection of the cooked rice to be inspected according to the color-coded aspect of each inspection target cooked rice image data and each ratio And features.

  According to the first aspect of the present invention, the image data color-coded into the reference area created and stored by the operator and the non-reference area, the ratio of each area, and the cooked rice that is the basis for creating the model Based on the model cooked rice image data group associated with the image data, the reference area for the cooked rice image data that is actually cooked, the color coding process for each non-reference area, and the ratio of each area By generating numerical values by computer processing and associating them with each other to generate a group of rice image data to be inspected, it is assumed that the reference grain that does not impair the texture of cooked rice that has actually been cooked, the texture is impaired. It is possible to realize and provide a quality inspection system for cooked rice that can automatically and non-standardly inspect and analyze non-standard areas and quickly determine the quality of the cooked rice. .

  According to the second aspect of the present invention, the image data color-coded into the reference area, the crack area and the kneading area created and stored by the operator, the ratio of each area, and the cooked rice that is the basis for creating the model Based on the model cooked rice image data group associated with the image data, the color-coded processing by reference area, cracked area, kneaded area and the ratio of each area to the image data of cooked rice that is actually cooked By generating computer-generated numerical data indicating the inspection target cooked rice image data group, the standard grains that do not impair the texture of cooked rice that has been actually cooked, rough grains, cracked grains with a sense of incongruity, and stickiness Realize a cooked rice quality inspection system that can inspect and analyze each area of kneaded grains automatically and in a list to quickly determine the quality of the cooked rice It is possible to provide.

  According to invention of Claim 3, the said model rice cooking rice image data is color-coded by three colors which make a reference | standard area | region blue, a crack area | region yellow, and a kneading area | region red according to manual operation, The said inspection object rice cooking Since the rice image data is automatically color-coded into three colors, the reference area is blue, the cracked area is yellow, and the kneaded area is red by the computer image processing related to the color-coded model cooked rice image data. Recognize each area of the standard grains that do not impair the texture of the cooked rice that is actually cooked, the grain that is rough, the cracked grains that are uncomfortable, and the kneaded grains that feel sticky automatically and clearly by each color in a list, It is possible to realize and provide a quality inspection system for cooked rice that can be inspected and analyzed and can quickly determine the quality of the cooked rice.

  According to invention of Claim 4, the program for quality inspection systems of cooked rice which can construct | assemble the quality inspection system of cooked rice which concerns on invention of Claim 2 can be implement | achieved and provided.

  According to the invention described in claim 5, as in the invention described in claim 3, each of the reference grains that do not impair the texture of the cooked rice that is actually cooked, the rough grains, the cracked grains with a sense of incongruity, and the kneaded grains that feel sticky For the quality inspection system of cooked rice, which can automatically recognize and clearly recognize the area by each color in a list and inspect and analyze it, and can quickly judge the quality of the cooked rice A program can be realized and provided.

FIG. 1 is a block diagram showing an overall configuration of a quality inspection system for cooked rice according to an embodiment of the present invention. FIG. 2: is a flowchart which shows the creation process of the model cooking rice image data used as the basis of the quality inspection of the cooked rice created based on the cooked rice used as the origin of the model creation which can be obtained in the quality inspection system of the cooked rice which concerns on a present Example It is. FIG. 3: is a flowchart which shows the preparation process of the inspection object cooked rice image data in the quality inspection system of the cooked rice which concerns on a present Example. FIG. 4 is a schematic diagram showing a model cooked rice reference image that is a basis for quality inspection of cooked rice prepared based on cooked rice that is a basis for model creation in the quality inspection system for cooked rice according to the present embodiment. FIG. 5 is a schematic diagram showing a model cooked rice cracking image serving as a basis for quality inspection of cooked rice prepared based on cooked rice used as a basis for model creation in the quality inspection system for cooked rice according to the present embodiment. FIG. 6: is schematic which shows the model rice cooking image used as the basis of the quality inspection of the cooked rice created based on the cooked rice used as the origin of the model creation in the quality inspection system of the cooked rice concerning a present Example. FIG. 7: is schematic which shows the to-be-inspected cooked rice reference | standard image in the quality inspection system of the cooked rice based on a present Example. FIG. 8 is a schematic view showing a cracked image of cooked rice to be inspected in the quality inspection system for cooked rice according to the present embodiment. FIG. 8: is schematic which shows the rice rice kneading image for inspection in the quality inspection system of the rice cooking rice which concerns on a present Example. FIG. 10 is a schematic diagram showing a mixed rice image to be inspected in the quality inspection system for cooked rice according to the present embodiment.

  The present invention mainly examines and analyzes the regions of the standard grains that do not impair the texture of cooked rice, and the areas of rough grains, cracked grains with a sense of incongruity, and kneaded grains that feel sticky, and promptly determine the quality of the texture. The purpose of providing a quality inspection system for cooked rice that can be determined in an image is to image the surface of cooked rice that is the basis for model creation and output the image data, and the image of the cooked rice from the imaging unit A storage unit for storing data, a display unit for displaying the image data of the cooked rice on the screen, and the image data by manual operation using computer image processing while visually checking the image data of the cooked rice displayed on the screen Corresponds to the display area of the reference grain that does not impair the texture according to the display form of the grain, the area of the cracked grain that means the texture of the grain that is rough and uncomfortable, the area of the paste that feels sticky Manual operation means for color-coding into kneaded areas, an area calculation unit for calculating each ratio of the color-coded reference area, crack area, and kneading area with respect to the entire image area, and color-coded image data, and the ratio of each area The model cooked rice image data that is the basis for the quality inspection of the cooked rice is created by associating the image data of the cooked rice that is the basis of the model creation, and the above process is performed as many times as necessary for the model cooked rice image data group. The storage unit stores the image of the cooked rice to be inspected by the imaging unit an arbitrary number of times, acquires the image data group, and refers to the model cooked rice image data group to perform computer image processing. Means a reference grain area that does not impair the texture of individual image data of the image data group to be inspected, and means a grain area that is rough and has a sense of incongruity. Crack region by performing color processing to paste grain region feel sticky to generate image data. In addition, the ratio of the reference area, the crack area, and the kneading area of the color-coded image data with respect to the entire image area is calculated, and the color-coded image data, the ratio of each area, and the image data of the cooked rice to be inspected are associated with each other. It implement | achieved by the structure which produced | generated the inspection object cooked rice image data group, and performed the quality inspection of the said inspection object cooked rice according to the color classification aspect of each inspection object cooked rice image data, and each ratio.

  Hereinafter, a quality inspection system for cooked rice according to an embodiment of the present invention will be described in detail with reference to the drawings.

  As shown in FIG. 1, the quality inspection system 1 for cooked rice R according to this embodiment includes a control unit 2 that controls the quality inspection system 1 for the cooked rice R as a whole, and the quality inspection system 1 for the cooked rice R. From the program memory 3 that stores the operation program, the image data processing program, and the surface of the rice cooker R that is the basis for creating the model cooked by the rice cooker 11, and outputs the image data, for example, from a digital camera Imaging unit 4, image data group of captured rice cooked rice R, created model cooked rice image data group, storage unit 5 for storing various data such as inspection target cooked rice image data group generated by computer processing, and rice cooking Display unit 6 composed of a liquid crystal display or the like for displaying various images such as an image of rice R, a model cooked rice image, a rice cooked rice image to be inspected, and a keyboard constituting manual operation means A computer image with reference to the model rice cooked rice image data group, the area calculation unit 9 for calculating the ratio of the reference area, the crack area, and the kneading area to the total image area, which will be described in detail later. A reference region that means a region of a reference grain that does not impair the texture of individual image data of the image data group to be inspected by processing, and a cracked region that means a region of cracked grain that is rough and uncomfortable. An inspection object cooked rice image data processing unit 10 that automatically performs a color-coding process on a region of kneaded grains that feels sticky.

  Next, the cooked rice prepared based on the cooked rice R that is the basis of model creation by the quality inspection system 1 of the cooked rice R according to the present embodiment having the configuration described above with reference to FIGS. 2 and 4 to 6. The creation process of the model cooked rice image data that is the basis for the quality inspection of R will be described.

  In creating the model cooked rice image data that is the basis of the quality inspection by the quality inspection system 1 of the cooked rice R according to the present embodiment, first, the model creation cooked by the rice cooker 11 by the imaging unit 4 is first performed. For example, the surface of the cooked rice R is imaged an arbitrary number of times while changing the imaging location, and each image data group is output.

  The image data group of cooked rice R from the imaging unit 4 is stored in the storage unit 5 by computer processing (program processing). And the image data group of cooked rice R is displayed on the screen of the display part 6 separately.

  Next, the operator of the quality inspection system 1 for the cooked rice R according to the present embodiment uses a manual operation means such as a mouse to perform computer image processing while visually checking the image data of the cooked rice R displayed on the surface. Color processing is performed on a reference region that means a region of reference grains that does not impair the texture corresponding to the display form of the image data by manual operation that is used, and a region other than the reference.

  In the present embodiment, the following description will be made assuming that there are two types of non-reference areas, namely, a cracked area that means a grain area with a rough feeling and a sense of incongruity, and a kneaded area that means a kneaded grain area that feels sticky.

  As a specific mode in this case, for example, the image data of the cooked rice R shown in the lower column of FIG. 4 is visually recognized, and the region recognized as the region of the reference grain that does not impair the texture corresponding to the display form of the image data. Is used as a reference region, for example, in blue (indicated by dark gray for convenience of drawing display in the column in FIG. 4), and a region that is recognized as a rough and uncomfortable cracked grain region is yellow as a crack region (FIG. 4). In the middle column, it is painted with a light gray color for the convenience of drawing display, and in addition, the kneaded grain area where stickiness is felt is black as the kneading area (in the middle column of FIG. 4, it is black for the convenience of drawing display). (Shown) is performed.

  It should be noted that the color form of the drawing display by the color classification process is the same in FIGS. 5 to 10 described below.

  Further, the area calculation unit 9 calculates the ratios (areas) of the reference area, the crack area, and the kneading area to the entire image area based on the image data color-coded as described above.

  In this case, the calculation is performed such that the reference area is 93%, the cracking area is 7%, and the kneading area is 0%, and the reference area occupies most of the area.

  The computer-cooked rice image data that is the basis for the quality inspection of the cooked rice R is obtained by associating the color-coded image data, the ratio of each area, and the image data of the cooked rice from which the model is created. Created and stored in the storage unit 5.

  An image corresponding to the model cooked rice image data shown in FIG. 4 is referred to as a model cooked rice reference image.

  Next, the image shown in the lower column of FIG. 5 is an image of another part of the surface of the cooked rice R that is the basis for creating the model cooked by the rice cooker 11 by the imaging unit 4 in the same manner as described above. Data is displayed on the screen, and based on this, the same processing as described above is executed, and by computer processing, the image data color-coded, the ratio of each region, and the image data of cooked rice that is the basis for model creation Is obtained, and model cooked rice image data corresponding to the model cooked rice cracked image as shown in FIG. 5 is obtained and stored in the storage unit 5.

  In this case, the calculation is performed such that the reference region is 47%, the crack region is 49%, and the kneading region is 4%, and the crack region occupies approximately half of the whole.

  Furthermore, it shows in the lower column of FIG. 5 which imaged another part of the surface of the rice cooking rice R used as the origin of the model creation cooked with the said rice cooker 11 by the said imaging part 4 similarly to the case where it mentioned above. Image data is displayed on the screen, and based on this, the same processing as described above is executed, and the image data color-coded by computer processing, the ratio of each region, and the image data of cooked rice from which the model is created Is obtained, and model cooked rice image data corresponding to the model cooked rice kneaded image as shown in FIG. 6 is obtained and stored in the storage unit 5.

  In this case, the calculation is performed such that the reference area is 22%, the crack area is 26%, and the kneading area is 52%, and the kneading area occupies almost half of the whole area.

  A set of the above-described three types of model cooked rice image data in this embodiment is referred to as a model cooked rice image data group.

  With the above process, the process for creating model cooked rice image data that is a basis for quality inspection of cooked rice R is completed.

  Next, the cooked rice to be inspected based on the cooked rice R to be inspected by the quality inspection system 1 of the cooked rice R according to the present embodiment having the configuration described above with reference to FIGS. 3, 7 to 9, and 10. Image data generation processing and quality inspection will be described.

  When generating inspection target cooked rice image data by the quality inspection system 1 of cooked rice R according to the present embodiment, first, the imaging unit 4 of the cooked rice R to be inspected cooked by the rice cooker 11 is used. For example, the surface is imaged an arbitrary number of times while changing the imaging location, and the image data group is output.

  The image data group of cooked rice R from the imaging unit 4 is stored in the storage unit 5 by computer processing.

  Next, the cooked rice image data processing unit 10 to be inspected refers to the model cooked rice image data group stored in the storage unit 5 and, for example, the cooked rice R to be inspected as shown in the lower column of FIG. The image data corresponding to the image is compared with the image data of the cooked rice R that is the source of the model cooked rice reference image that is added to a part of the model cooked rice reference image in which the ratio of the reference region in the model cooked rice image data group is large. When the image data of the cooked rice R to be inspected is also determined to have a large ratio of the reference area, the cooked rice R to be inspected is further referred to while referring to the color-coded image data of the model cooked rice reference image. In the case of the reference region that means the region of the reference grain that does not impair the texture for the image data, the crack region that means the region of the cracked grain that is rough and uncomfortable, and the kneaded region that feels sticky alike It performs color processing Te, automatically generating a color-coded image data.

  Further, the area calculation unit 9 calculates the ratios (areas) of the reference area, the crack area, and the kneading area to the entire image area based on the image data color-coded as described above.

  In this case, the calculation is performed such that the reference area is 62%, the cracking area is 37%, and the kneading area is 1%, and the reference area occupies a large proportion of the whole.

  Then, by computer processing, the color-coded image data, the ratio of each region, and the image data of the rice to be inspected are associated with each other to generate inspection rice to be cooked image data and stored in the storage unit 5.

  An image corresponding to the inspection target cooked rice image data shown in FIG. 7 is referred to as an inspection target cooked rice reference image.

  Next, in the same manner as described above, the imaging unit 4 corresponds to the image shown in the lower column of FIG. 8 in which another part of the surface of the cooked rice R to be inspected cooked by the rice cooker 11 is imaged. The image data to be displayed is displayed on the screen, and based on this, the same processing as described above is executed.

  That is, the image data corresponding to the image shown in the lower column of FIG. 8 of the cooked rice R to be inspected and added to a part of the model cooked rice cracked image having a large ratio of the cracked area in the model cooked rice image data group When the image data of the cooked rice R that is the original cooked rice R is compared and the image data of the cooked rice R to be inspected is also judged to have a large percentage of cracked areas, the model cooked rice cracked image is further color-coded. This refers to the reference region that means the region of the reference grain that does not impair the texture with respect to the image data of the cooked rice R that is the subject of inspection, and also refers to the region of the cracked grain that is rough and uncomfortable. The color-separation process is performed in the same manner as described above for the cracked area and the kneaded grain area that feels sticky, and color-coded image data is automatically generated.

  Further, the area calculation unit 9 calculates the ratios (areas) of the reference area, the crack area, and the kneading area to the entire image area based on the image data color-coded as described above.

  In this case, the calculation is performed such that the reference area is 61%, the crack area is 34%, and the kneading area is 5%, and the crack area occupies a large proportion of the whole.

  Then, by computer processing, the color-coded image data, the ratio of each region, and the image data of the inspection target cooked rice are automatically generated, and the inspection target cooked rice image data is automatically generated and stored in the storage unit 5.

  The image corresponding to the inspection target cooked rice image data shown in FIG. 8 is referred to as an inspection target cooked rice cracked image.

  Next, in the same manner as described above, the imaging unit 4 captures another image of the surface of the cooked rice R to be inspected by the rice cooker 11 in the image shown in the lower column of FIG. Corresponding image data is displayed on the screen, and based on this, the same processing as described above is executed.

  That is, the image data corresponding to the image shown in the lower column of FIG. 9 of the cooked rice R to be inspected and a part of the model cooked rice kneaded image with a large proportion of the kneaded area in the model cooked rice image data group If the image data of the cooked rice R to be inspected is compared and the image data of the cooked rice R to be inspected is determined to have a large proportion of the kneaded area, the model cooked rice kneaded image is further color-coded. This refers to the reference region that means the region of the reference grain that does not impair the texture with respect to the image data of the cooked rice R that is the subject of inspection, and also refers to the region of the cracked grain that is rough and uncomfortable. The color-separation process is performed in the same manner as described above for the cracked area and the kneaded grain area that feels sticky, and color-coded image data is automatically generated.

  Further, the area calculation unit 9 calculates the ratios (areas) of the reference area, the crack area, and the kneading area to the entire image area based on the image data color-coded as described above.

  In this case, the calculation is performed such that the reference area is 26%, the crack area is 28%, and the kneading area is 46%, and the kneading area occupies approximately half of the entire area.

  Then, by computer processing, the color-coded image data, the ratio of each region, and the image data of the inspection target cooked rice are automatically generated, and the inspection target cooked rice image data is automatically generated and stored in the storage unit 5.

  The image corresponding to the inspection target cooked rice image data shown in FIG. 9 is referred to as an inspection target cooked rice kneaded image.

  In addition, FIG. 10 shows the inspection rice-cooked rice mixed image in which the region of the kneaded image is mixed in the region of the cracked image generated in the same manner as described above. In this case, the reference region 41, the crack The calculation is performed such that the area is 32% and the kneading area is 27%, and the crack area and the kneading area are approximately approximate.

  A set of the above-described four types of inspection-target rice-cooked rice image data in this embodiment is referred to as an inspection-target rice-cooked rice image data group.

  Thus, based on the model cooked rice image data group created and stored by the operator, the reference region, crack region, and kneading region for the image data of the cooked rice R that is actually cooked The standard grain which does not impair the texture in the cooked rice R actually cooked by performing another color-coding process and numerical value generation indicating the ratio of each of these areas by computer processing and generating the rice rice image data group to be inspected The rice cooked rice R which can check the quality of the rice cooked rice R promptly by checking and analyzing the areas of the grain, the cracked grains with a sense of incongruity, and the kneaded grains that feel sticky mainly by visual inspection. A quality inspection system can be constructed.

  For example, when the inspection target cooked rice reference image shown in FIG. 7 is generated, it is possible to determine that the texture of the cooked rice R is good because the reference region occupies a large proportion of the whole. When the cracked rice image to be inspected shown in FIG. 8 is generated, the texture of the cooked rice R can be determined to be rough and uncomfortable, and the cooked rice kneaded image to be inspected in FIG. 9 is generated. In that case, it can be determined that the texture of the cooked rice R is sticky.

  Furthermore, when the inspection object cooked rice mixed image shown in FIG. 10 is generated, it can be determined that the texture of the cooked rice R is rough and uncomfortable and also feels sticky.

  In addition, in the Example mentioned above, although the 3 types of examples were given as an aspect which produces a model cooked rice image, the creation number of model cooked rice images is not restricted to this, Arbitrary numbers, such as 5, 10, 30 types It does not specifically limit, The precision of the quality inspection of cooked rice can be raised more by producing and memorizing | storing such many model cooked rice images.

  The quality inspection system for cooked rice according to the present invention can be widely used in food factories and research laboratories that handle cooked rice, as well as in school meal providers, restaurants, restaurants, and the like.

DESCRIPTION OF SYMBOLS 1 Quality inspection system of cooked rice 2 Control part 3 Program memory 4 Imaging part 5 Memory | storage part 6 Display part 7 Keyboard 8 Mouse 9 Area | region calculation part 10 Rice rice image data processing part 11 inspection rice cooker R Rice cooker

Claims (5)

An imaging unit that images the surface of cooked rice that is the basis for model creation and outputs the image data;
A storage unit for storing image data of cooked rice from the imaging unit;
A display unit for displaying the image data of the cooked rice on the screen;
A reference region that means a region of a reference grain that does not impair the texture corresponding to the display form of the image data by manual operation using computer image processing while visually checking the image data of the cooked rice displayed on the screen, Manual operation means for color-coding into non-standard areas meaning grains other than the standard grains that may impair the feeling,
An area calculation unit for calculating the ratio of the color-coded reference area and the non-reference area to the entire image area;
Comprising
Create model cooked rice image data that is the basis for quality inspection of cooked rice by associating the color-coded image data, the ratio of each area, and the image data of cooked rice that is the basis of model creation. Go to the storage unit as a model cooked rice image data group,
The surface of the cooked rice to be inspected is also imaged by the imaging unit an arbitrary number of times, the image data group is acquired, and the image to be inspected by computer image processing with reference to the model cooked rice image data group Perform color coding on the reference area that means the area of the reference grain that does not impair the texture of individual image data in the data group, and the non-reference area that may impair the texture, and the color-coded reference area and non-standard Calculate the ratio of each area to the entire image area, generate the inspection-cooked rice image data group, color-coded the individual inspection-cooked rice image data, quality inspection of the inspection-cooked rice according to each ratio A quality inspection system for cooked rice, characterized in that it is performed. An imaging unit that images the surface of cooked rice that is the basis for model creation and outputs the image data;
A storage unit for storing image data of cooked rice from the imaging unit;
A display unit for displaying the image data of the cooked rice on the screen;
A reference region that means a region of a reference grain that does not impair the texture corresponding to the display form of the image data by manual operation using computer image processing while visually checking the image data of the cooked rice displayed on the screen, Manual operation means for color-coding into a cracked area meaning an uncomfortable cracked grain area, a kneaded area meaning a sticky grain area that feels sticky,
An area calculation unit that calculates each ratio of the color-coded reference area, crack area, and kneading area to the entire image area;
Comprising
Create model cooked rice image data that is the basis for quality inspection of cooked rice by associating the color-coded image data, the ratio of each area, and the image data of cooked rice that is the basis of model creation. Go to the storage unit as a model cooked rice image data group,
The surface of the cooked rice to be inspected is also imaged by the imaging unit an arbitrary number of times, the image data group is acquired, and the image to be inspected by computer image processing with reference to the model cooked rice image data group Perform color-coding processing on the reference area that means the area of the reference grain that does not impair the texture of the individual image data in the data group, the crack area that means the area of the rough grain that feels rough and uncomfortable, and the kneaded grain area that feels sticky The image data is generated and the ratio of the reference area, crack area, and kneading area of the color-coded image data to the total image area is calculated, and the color-coded image data, the ratio of each area, and the rice to be inspected Associating rice image data, generating a rice-cooked rice image data group to be inspected, the color-coded mode of each rice-cooked rice image data to be inspected, the inspection pair according to each ratio Cooked rice quality inspection system being characterized in that to perform the quality inspection of the cooked rice.   The model cooked rice image data is color-coded into three colors, the reference area is blue, the cracked area is yellow, and the kneaded area is red, according to manual operation, and the rice rice image data to be inspected is a color-coded model 3. The quality of cooked rice according to claim 2, wherein automatic color-coding processing is performed by three colors, wherein the reference area is blue, the crack area is yellow, and the kneading area is red by computer image processing associated with cooked rice image data. Inspection system. A process of storing a plurality of image data of cooked rice, which is a basis for creating a model from the imaging unit, in the storage unit;
A process of displaying image data of cooked rice that is the basis of model creation on the display unit;
According to the operator's manual operation while viewing the image data of the cooked rice that is the basis for creating the model to be displayed on the display unit, the region of the image data of the cooked rice that is the basis is the reference region, cracked region, and kneaded region A process of color-dividing into three color areas and generating color-coded image data;
A process of calculating the ratio of each area of the color-coded image data to the entire area;
Each model cooked rice obtained from the image data of multiple cooked rice as the model cooked rice image data by associating the color-coded image data, the ratio data of the total area of each area, and the image data of the cooked rice as the model Processing the image data as a model cooked rice image data group;
Processing to store the model cooked rice image data group in the storage unit;
A process of storing a plurality of image data of cooked rice to be inspected from the imaging unit in the storage unit,
For the individual image data of each image data in the cooked rice to be inspected, refer to the form of the cooked rice image data that is the source of the model cooked rice image data group and the corresponding color-coded image data And processing the image data of the cooked rice to be inspected into a three-color region, a reference region, a crack region, and a kneading region, and automatically generating the color-coded image data;
A process of calculating the ratio of each area to the entire area based on the color-coded image data;
Color-coded image data, data on the ratio of each area to the entire area, and image data of cooked rice to be inspected are associated with each other as inspection object cooked rice image data, and each inspection object obtained from the image data of multiple inspection object rice A process of setting the cooked rice image data as the inspection target cooked rice image data group;
A process of storing the inspection-cooked rice image data group in the storage unit;
including,
A program for a quality inspection system for cooked rice characterized by this.   The model cooked rice image data is color-coded into three colors, the reference area is blue, the cracked area is yellow, and the kneaded area is red, according to manual operation, and the rice rice image data to be inspected is a color-coded model 5. The quality of cooked rice according to claim 4, wherein automatic color-coding is performed into three colors, wherein the reference area is blue, the cracked area is yellow, and the kneaded area is red by computer image processing associated with cooked rice image data. Program for inspection system.