JP2015001441A - Detail determination system of opaque portion of rice grains, detail determination program, and storage medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a detail determination system of an opaque portion of rice grains (short grain species, middle grain species, and long grain species) with which information on the opaque portion and the area thereof of the rice grains, that is, a wide variety of unpolished rice grain samples and various types of polished rice grain samples, can be obtained, and each type of various white immature grains of the unpolished rice grains can be determined.SOLUTION: A detail determination system of an opaque portion of rice grains according to the present invention captures, with a computer 2 for detail determination processing, for a wide variety of types of unpolished rice grain samples, for example, of rice grains, image data for each unpolished rice grain M from a color light receiving element part 12 in color imaging means 4; performs various types of determination processing including the analysis of the shape and color, the determination of various types of immature grains such as milky white grains, white core grains, green immature grains, base immature grains, white belly immature grains, white-back grains, and other immature grains, whiteness analysis of white immature grains to determine the opaque portion, the grain length, the grain width, the grain area, and the area of the opaque portion; stores results of the determination processing; and outputs the results to printing means.

Description

  The present invention can obtain information on the cloudy part grains and areas of rice grains, that is, various types of brown rice grains samples or various polished rice grains samples, and various white immature grains of brown rice grains. In addition, the present invention relates to a detailed discrimination system, a detailed discrimination program, and a storage medium such as a cloudy part of rice grains (short grain type, medium grain type, long grain type) that can discriminate powdery grain of polished rice by type.

  In recent years, rice yield and appearance quality are often reduced nationwide due to high summer temperatures. For example, white immature grains are one of the quality degradations caused by high temperatures.

  There are various types of white immature grains, such as milk white grains, back white grains, belly white grains, base immature grains, and heart white grains, and the appearance of white immature grains varies depending on weather conditions and cultivation conditions. .

  In particular, a large number of white grains have occurred in recent years, causing great damage to the farmer's economy.

  In the past, the determination of white immature grains was performed by the operator's visual observation. However, the visual identification is arbitrary and lacks accuracy and reliability.

  For this reason, in order to clarify the generation factors for each type of white immature grains and to clarify varieties with less expression of white immature grains in breeding, there is a strong demand for countermeasure technology with excellent accuracy and reliability.

  However, so far, there has not been a grain discriminator capable of discriminating white background grains or measuring rice grains that are cloudy or measuring the area or area.

  In addition, development of varieties that can withstand high temperatures is required to cover a wide range of gene sources. However, commercially available grain discriminators are developed for Japanese-type varieties, so they can be applied to long grain varieties. could not.

  In Patent Document 1, light is irradiated to each grain of sample rice arranged and transferred in a circular arrangement on a disk, and the amount of light of an arbitrary wavelength in the diffuse reflected light of each grain is detected. A detecting means is provided, a calculating means for calculating the whiteness value for each grain of the sample rice using the light amount detected by the detecting means is provided, and the whiteness value for each grain calculated by the calculating means Classifying means is provided to classify each of the whiteness ranges in stages, and the number of grains or the ratio of the number of grains for each whiteness range classified by this classification means, or the average whiteness of the entire sample rice There is disclosed a rice single grain whiteness measuring apparatus characterized in that processing means for determining the whiteness rank of the entire sample rice according to the value is provided.

  However, in the case of the conventional rice single grain whiteness measuring apparatus, although the whiteness rank of the entire sample rice can be determined according to the number of grains or the ratio of the number of grains for each whiteness range or the average whiteness value of the entire sample rice, In addition, for various types of brown rice grain samples or various kinds of polished rice grains, it is possible to obtain information on the cloudy part grains and their areas, and also various kinds of white unripe grains of brown rice grains, and powdered rice grains Actually, there is no detailed discrimination system such as the cloudy part of rice grains (short grain type, medium grain type, long grain type) that can discriminate the grain according to type.

JP 2000-105198 A

  The problem to be solved by the present invention is that, with respect to rice grains, that is, various types of brown rice grain samples or various polished rice grain samples, information on the cloudy part grains and their areas can be obtained. There is no detailed discriminating system such as a cloudy portion of rice grains (short grain type, medium grain type, long grain type) that can discriminate various types of white immature grains of grains and powdered grains of polished rice grains by type.

The detailed discriminating system for the cloudy portion of the rice grain of the present invention is a tray for imaging in which a large number of grain holes are arranged, and a large number of rice grains (brown rice grains or polished rice grains) that are symmetrical for detailed discrimination are mounted horizontally in each grain hole. A light source for irradiating each rice grain (brown rice grain or polished rice grain) mounted on the imaging tray, a black reflector, and surface reflected light from each rice grain (brown rice grain or polished rice grain) A reflected light type color imaging means for performing optical imaging scanning of a large number of rice grains (brown rice grains or polished rice grains) mounted in a large number of grain holes of the imaging tray; Color image data of each rice grain (brown rice grain or polished rice grain) imaged by means is taken, detailed discrimination processing such as cloudiness part of the rice grain is performed, and detailed discrimination processing such as cloudiness part etc. regarding each rice grain (brown rice grain or polished rice grain) Detailed discrimination processing computer that generates results And a detailed discriminating system such as a cloudy part of the rice grain having a printing means for printing out the detailed discriminating processing result, etc., wherein the computer for detailed discriminating processing includes each of the color light receiving element sections in the color imaging means. Capture image data for each rice grain (brown rice grain or polished rice grain), for each rice grain (brown rice grain or polished rice grain), analysis of shape, color, milky white grain or whole powdery grain, base immature grain or semi-powdered grain, A program memory storing a detailed discrimination program for performing various discrimination processes such as discrimination of various immature grains such as heart white grains, belly white immature grains, back white grains, blue immature grains, and other immature grains, and rice grains (brown rice grains or Discrimination basic information storage means having a discriminant item information file that stores discriminant item information on the cloudiness part etc. of the polished rice grains, and discriminant processing result information memory for storing various discrimination processing results by the detailed discriminating program Detailed discrimination processing for storing detailed discrimination output information for each rice grain (brown rice grain or polished rice grain) generated by processing with a discrimination item on the image data of each rice grain (brown rice grain or polished rice grain) subjected to discrimination processing The main feature is to have output information storage means.
In the present invention, the polished rice grains are normal grains, powdered grains (whole powder grains, heart white grains, semi-powder grains, belly white grains, belly white grains), damaged grains (deformed grains, damaged grains), It is classified into cracked grains, crushed grains, and colored grains (full-colored grains, stink bug damaged grains, nematode damaged grains, and diseased grains), and rice grains refer to short grain seeds, medium grain seeds, and long grain seeds.

According to the first to fourth aspects of the present invention, image data for each rice grain (brown rice grain or polished rice grain) from the color light receiving element portion in the color imaging means is captured by the computer for detailed discrimination processing, and for each brown rice grain , Shape, color analysis, milk white grain, heart white grain, blue immature grain, base immature grain, belly white immature grain, back white grain, other immature grains and other immature grains, white immature grain whiteness analysis Milky white grains, heart white grains, base immature grains, belly white immature grains, back white grains, back white composite type white immature grains, other complex type white immature grains, etc., cloud length, grain length, grain width, grain area, cloudiness Various discrimination processes such as area are performed, the discrimination process result is stored, and can be output to the printing means or the like.
According to the first to fourth aspects of the present invention, the detailed discrimination processing computer captures image data for each polished rice grain from the color light receiving element portion in the color imaging means, and the shape, color for each polished rice grain. Analysis, normal grains, powdered grains (whole powder grains, heart white grains, semi-powder grains, belly white grains, belly white grains), damaged grains (deformed grains, damaged grains), crack grains, crushed grains, colored grains (Whole colored grains, stink bug damaged grains, nematode damaged grains, diseased grains), etc., whole powdered grains by heart rate analysis of powdered granules, heart white grains, semi-powdered grains, belly white grains, back white grains, Performs various discrimination processes such as white cloudy part, grain length, grain width, grain area, and cloudiness area of back-white composite type white immature grains, other composite type white immature grains, etc. It is configured to be able to output.

  Therefore, it is possible to obtain information on the white cloudy part grains and the area of the rice grains, that is, various types of brown rice grains samples or various polished rice grains samples, and various white unripe grains of the brown rice grains, and polished rice It is possible to realize and provide a detailed discriminating system such as a cloudy portion of rice grains (short grain seeds, medium grain seeds, long grain seeds) that can discriminate powdery grain of each type.

  According to invention of Claims 5 thru | or 7, the rice grain (short grain seed | species, long grain seed | species) which can implement | achieve the detailed discrimination | determination system of the cloudiness part etc. of the rice grain (short grain seed | species, medium grain seed | species, long grain seed | species) which show said each effect easily It is possible to provide a detailed discrimination program such as a cloudy part of the.

  According to the invention described in claim 8, a computer program is read and a detailed discrimination program such as a cloudiness portion of the rice grain (short grain type, medium grain type, long grain type) is stored in an executable manner. A storage medium capable of functioning as such a detailed determination processing computer can be realized and provided.

FIG. 1 is a schematic perspective view showing the external appearance of a detailed discrimination system for a cloudy portion of rice grains according to an embodiment of the present invention. FIG. 2 is a schematic sectional view of the color imaging means of the present embodiment. FIG. 3 is an enlarged cross-sectional view of the main part of the color imaging means of this embodiment. 4 is a schematic cross-sectional view taken along line AA of FIG. FIG. 5 is a plan view of the imaging tray of the color imaging means in this embodiment. FIG. 6 is a cross-sectional view of the image pickup tray of the color image pickup means in this embodiment. FIG. 7 is an enlarged cross-sectional view of the bottom plate mounting portion of the imaging tray in this embodiment. FIG. 8 is a partially enlarged plan view of the bottom plate mounting portion of the imaging tray in this embodiment. FIG. 9 is a front view showing a light receiving method of the color imaging means in the present embodiment. FIG. 10 is a partially enlarged view of the left end portion in FIG. FIG. 11 is an imaging diagram in the state of FIG. FIG. 12 is an explanatory view of the imaging principle of the color imaging means in this embodiment. FIG. 13 is an explanatory diagram showing the address correspondence relationship between the imaging tray and the thumbnail image in this embodiment. FIG. 14: is a block diagram which shows the control system of the detailed discrimination | determination system of the cloudiness part of the rice grain based on a present Example. FIG. 15 is a flowchart showing a series of processes of the detailed discrimination system for the white turbidity portion of rice grains according to the present embodiment. FIG. 16 is a diagram showing a start screen and a measurement start screen in the detailed discrimination system for the rice turbid area according to the present embodiment. FIG. 17 is an explanatory diagram of various function items in this embodiment. FIG. 18 is a diagram illustrating a print example corresponding to a print item among the function items in the present embodiment. FIG. 19 is a diagram illustrating an image display example corresponding to the grain shape histogram image item among the function items in the present embodiment. FIG. 20 is a diagram illustrating an image display example corresponding to the grain number% histogram image item among the function items in the present embodiment. FIG. 21 is a diagram showing a setting screen corresponding to setting items among the function items in the present embodiment. FIG. 22 is a diagram showing an example of a grain classification display screen in the present embodiment. FIG. 23 is a diagram showing an example of a scanner image screen in the present embodiment. FIG. 24 is a diagram showing a selection level adjustment screen in the present embodiment. FIG. 25 is a diagram showing an automatic adjustment screen for the selection level in this embodiment. FIG. 26 is a diagram showing a user selection level screen for manual adjustment in the present embodiment. FIG. 27 is a diagram showing an automatic input screen for the weighting factor of the manual adjustment tab in the present embodiment. FIG. 28 is a diagram showing a start screen and a measurement start screen in the detailed discrimination system for the white turbidity portion of rice grains according to this example. FIG. 29 is a diagram showing a measurement information input screen in the present embodiment. FIG. 30 is a diagram showing a new summary file addition screen in the present embodiment. FIG. 31 is a diagram showing a measurement information input screen displayed next to the summary file new addition screen in the present embodiment. FIG. 32 is a diagram showing a measurement result screen (thumbnail display screen) in the present embodiment. FIG. 33 is a diagram showing a whiteness analysis screen in the present embodiment. FIG. 34 is an explanatory diagram of the configuration of the measurement result screen in this embodiment. FIG. 35 is a diagram for explaining the configuration of the whiteness analysis screen in this embodiment. FIG. 36 is a diagram showing a screen displaying a mesh on the grain image in the present embodiment. FIG. 37 is a diagram showing a screen on which mesh positions having whiteness equal to or greater than a threshold value are displayed by coloring according to the present embodiment. FIG. 38 is a diagram showing a screen on which a white dead mesh is displayed with coloring in the present embodiment. FIG. 39 is a diagram showing a screen on which the white background mesh in the present embodiment is displayed with coloring. FIG. 40 is a diagram showing a screen on which the embryo mesh in this embodiment is displayed with coloring. FIG. 41 is a diagram showing a thumbnail display screen when threshold registration processing is performed in the present embodiment. FIG. 42 is a diagram showing a whiteness analysis screen when the threshold value registration process in the present embodiment is performed. FIG. 43 is a diagram showing a whiteness analysis screen when performing the part setting process in the present embodiment. FIG. 44 is a diagram showing a part setting screen in the present embodiment. FIG. 45 is an explanatory view showing a method of discriminating embryos of grain images in the present embodiment. FIG. 46 is a diagram showing a thumbnail display screen when the grain classification changing process is performed in the present embodiment. FIG. 47 is a diagram showing a grain classification change screen in the present embodiment. FIG. 48 is a diagram showing a screen in which the selection state of one image of the thumbnail display screen in this embodiment has changed from white to red. FIG. 49 is an explanatory diagram showing a case where the grain classification changing process is performed from the whiteness analysis screen in the present embodiment. FIG. 50 is a diagram showing a whiteness analysis screen when performing a germ position change process in the present embodiment. FIG. 51 is a diagram showing a germ position change screen in the present embodiment. FIG. 52 is a diagram showing a screen for changing the germ position in the present embodiment. FIG. 53 is a diagram showing a recalculated result screen in the present embodiment. FIG. 54 is a diagram showing a whiteness analysis screen when the mesh changing process is performed in the present embodiment. FIG. 55 is a diagram showing a mesh change screen in the present embodiment. FIG. 56 is a diagram showing a mesh change processing screen in the present embodiment. FIG. 57 is an explanatory diagram of screen operations when the recalculation process is performed in the present embodiment.

  The present invention can obtain information on the cloudy part grains and areas of rice grains, that is, various types of brown rice grains samples or various polished rice grains samples, and various white immature grains of brown rice grains. The purpose is to realize and provide a detailed discrimination system such as the cloudiness part of rice grains (short grain seeds, medium grain seeds, long grain seeds) that can discriminate powdered grain of polished rice by type. , The image pickup tray in which a large number of rice grains (brown rice grains or polished rice grains) that are symmetrically discriminated in detail in each grain hole are mounted horizontally, and light is applied to each rice grain (brown rice grains or polished rice grains) mounted in the imaging tray A light source for irradiating, a black reflector, and a color light receiving element portion for receiving surface reflected light from each rice grain (brown rice grain or polished rice grain), and a number of attached to a number of grain holes of the imaging tray Optical imaging of rice grains (brown rice grains or polished rice grains) Color image data of the reflected light system for performing the inspection, and color image data of each rice grain (brown rice grain or polished rice grain) imaged by the color imaging means, and performing detailed discrimination processing such as a cloudy portion of the rice grain, each rice grain Detailed discriminating system for the white turbidity part of rice grain, etc., comprising a computer for detailed discrimination processing for generating a detailed discrimination processing result of the white turbid part etc. (brown rice grain or polished rice grain) and a printing means for printing out the detailed discrimination processing result etc. The detailed discrimination processing computer captures image data for each rice grain (brown rice grain or polished rice grain) from the color light receiving element in the color imaging means, and analyzes the shape and color for each brown rice grain. , Milky white grains or whole powdered grains, heart white grains, blue immature grains, base immature grains or semi-powdered grains, belly white immature grains, back white grains, other immature grains such as immature grains, white immature grains white By degree analysis A program memory that stores a detailed discrimination program that performs various discrimination processes such as the cloudiness part, grain length, grain width, grain area, and cloudiness area, and a discrimination item information file that stores discrimination item information related to the cloudiness part, etc. of brown rice grains Basic discrimination information storage means having, discrimination processing result information storage means for storing various discrimination processing results by the detailed discrimination program, and each brown rice grain generated by discrimination item processing for the image data of each brown rice grain subjected to discrimination processing And a detailed discriminating process output information storage means for storing the detailed discriminating process output information for each, and for each rice grain, shape, color analysis, normal grain, powdery granule (whole powdery grain, Heart white, semi-powder, belly white, belly white), damaged (deformed, damaged), cracked, crushed, colored (full-colored, stink bug, nematode, disease) Etc. Program memory that stores a detailed discrimination program that performs various discrimination processes such as white turbidity site, grain length, grain width, grain area, and white turbidity area by whiteness analysis, and discrimination that stores discrimination item information related to white turbidity etc. of polished rice grains Discrimination basic information storage means having an item information file, discrimination processing result information storage means for storing various discrimination processing results by the detailed discrimination program, and processing with discrimination items for the image data of each polished rice grain The detailed discriminating process output information storing means for storing the detailed discriminating process output information for each polished rice grain is realized.

Hereinafter, the detailed discrimination system for the cloudy portion of rice grains and the like according to the embodiment of the present invention will be described in detail.
Below, regarding various types of brown rice grain samples of rice grains, it is possible to obtain information on the cloudy portion grains and their areas, and further, it is possible to discriminate various unripe white grains of brown rice grains by type. The detailed discriminating system such as the cloudy part will be described. The detailed discriminating system such as the cloudy part only replaces the brown rice grain sample described below with the polished rice sample, and the rice grains containing various kinds of polished rice samples (short grain type, Medium grain type, long grain type), etc., using the same apparatus, system, procedure, control system, etc. as the detailed discrimination system for the brown rice grain cloudy part described below, etc. A detailed discrimination system can be realized and implemented.

  As shown in FIG. 1, the detailed discrimination system 1 for various types of brown rice grain samples in the rice grain according to the present embodiment, such as a cloudy part, is used to obtain a large number of unripe grains of brown rice placed on an imaging tray 30. Color imaging means 4 for optical scanning, detail determination processing computer 2 such as a notebook computer, printing means (not shown) such as a color printer, color imaging means 4 and detail determination processing Computer 2 is provided.

  As shown in FIGS. 2, 3, 5, 6, 13, and the like, the imaging tray 30 is mounted by the number of the transparent bottom plate 32 and the number of brown rice grains M arranged closely on the bottom plate 32. And an alignment plate 31 provided in the row and column direction.

  The number of grain holes 31a of the alignment plate 31 is, for example, 32 rows and 36 columns, for a total of 1148, and each grain hole 31a is configured to be mounted with a large number of brown rice grains M, which are objects of detailed discrimination, in a landscape orientation.

  In addition, in the vicinity of each grain hole 31a of the aligning plate 31, letters numbered like (1st row 1 “1-1”, 1st row 2 “1-2”,...) Are attached. As shown in FIG. 13, it is also possible to adopt a configuration in which the address of each grain hole 31a is associated with the address given to each grain image on a thumbnail display screen described later.

  Next, the color imaging means 4 will be described with reference to FIGS.

  The color image pickup means 4 adopts an image pickup method using a moving reading head and includes a light source 11 composed of a white cold cathode fluorescent lamp, and also uses an image pickup method using a moving read head to provide a color CCD / RGB sensor type color light receiving element. Part 12 is provided.

  The color imaging means 4 includes a light source 11 that irradiates light to each brown rice grain M mounted on the imaging tray 30, and an imaging cover 36 that includes a reflecting plate 21 that reflects transmitted light that has passed through each brown rice grain M. As shown in FIG. 12, a color light receiving element portion 12 is provided for receiving the surface reflected light from each brown rice grain M and the re-reflected light reflected by the reflecting plate 21 and transmitted again through the brown rice grain M. Then, optical imaging scanning is performed from the lower surface direction of the imaging tray 30 on the large number of brown rice grains M mounted in the large number of grain holes 31a of the imaging tray 30, and the details such as the cloudiness portion of each brown rice grain M A reflected light / semi-transmitted light system is used to output image data for discrimination.

  The color light receiving element 12 employs, for example, a color CCD / RGB sensor system.

  As shown in FIGS. 7 and 8, a plurality of fixing brackets 33 are fixed to the alignment plate 31, and the fixing brackets 33 fit into the bottom plate 32 of the imaging tray 30. The same number of bowl-shaped holes 34 are opened.

  The bottom plate 32 can be easily attached to and detached from the imaging tray 30 by fitting the hole 34 and the fixing bracket 33.

  Accordingly, when the alignment plate 31 and the bottom plate 32 having the holes 34 are contaminated, the cleaning can be easily performed.

  In this embodiment, a detaching mechanism using the hole 34 and the fixing bracket 33 is used, but it is of course possible to perform the same function by using other known detaching mechanisms.

  In this embodiment, the alignment plate 31 at the bottom of the imaging tray 30 is made of a gray opaque member, and the bottom plate 32 at the bottom of the imaging tray 30 is made of a transparent member. Furthermore, the reflection plate 21 is made of a black opaque member.

  In such a configuration, the brown rice 4 is put on the alignment plate 31 at the bottom of the imaging tray 30, and light is emitted from the light source 11 of the color imaging means 4 toward the imaging tray 30. When the image is taken, the background portion other than the brown rice grain M becomes a black or gray image.

  In order to remove the unnecessary background from the captured image, it is possible to easily remove the background based on the difference in luminance between the black background and the brown rice.

  In the color imaging means 4, the black reflector 21 fixed to the lower part of the imaging cover 36 and positioned on the upper part of the imaging tray 30 covers the upper part of the imaging tray 30 when the imaging cover 36 is closed. It is mounted in a covering form.

  Further, a step 35 for fitting the reflecting plate 21 is provided on the side wall of the imaging tray 30 so that the distance between the imaging tray 30 and the reflecting plate 21 is constant by the step 35. It comes to hold.

  When the reflecting plate 21 is a member suitable for reflection, a part of the irradiation light emitted from the light source 11 of the color imaging means 4 is transmitted through the alignment plate 31, reflected by the reflecting plate 21, and further brown rice grains M. It passes through and reaches the color light receiving element portion 12.

  That is, to detect cracks in the brown rice grain M, which is a measurement target, applying transmitted light from an oblique direction along the longitudinal direction of the brown rice grain M will make the crack surface clear and easy to detect. Is understood.

  In the above-described embodiment, since the reflector 21 is made of a black member for facilitating background removal, it cannot be expected to obtain transmitted light that has passed through the brown rice grains M. The white turbid part is discriminated by the difference in the light quantity distribution of the reflected light.

  Furthermore, as shown in FIG. 10, the outer peripheral side wall surface 31b of the plurality of grain holes 31a for the brown rice grains M opened on the alignment plate 31 at the bottom of the imaging tray 30 has an extended line of each wall surface. It is opened in a state facing the light receiving surface of the light receiving element portion 12.

  As a result, as shown in FIG. 11, the image Ma of the brown rice grain M photographed at any part on the imaging stage 13 of the color imaging means 4 is not lacking, as shown in FIG. A normal image can be obtained, and an imaging error due to the position of the color imaging means 4 on the imaging table 13 can be eliminated.

  Next, the control system of the detailed discrimination system 1 such as the cloudiness portion of various types of brown rice grain samples in the rice grains according to the present embodiment will be described with reference to FIG.

  The detailed determination processing computer 2 constituting this control system includes a control program for executing overall control and a program memory 42 storing a detailed determination program for a cloudy part or the like to be described later in detail according to the present embodiment. Control means 41 for executing the control, an image data processing unit 43 for performing A / D conversion processing of image data of the brown rice grains M read by the color imaging means 4, and addresses corresponding to the respective addresses of the imaging tray 30 An address information file storing information, a discrimination basic information storage means 44 having a discrimination item information file storing discrimination item information related to the cloudiness part of the brown rice grain M, and various discrimination processing results as described later by the detailed discrimination program are stored. Discrimination items for each brown rice grain image data subjected to discrimination processing by the discrimination processing result information storage means 45 and the detailed discrimination program Detailed discrimination processing output information storage means 46 for storing detailed discrimination processing output information for each brown rice grain M generated by processing, an interface 47 for printing means for operating the printing means, for example, a DVD disk, an SD memory card, etc. A storage medium interface 48 for reading data from or writing data to the external storage medium 53, and a communication processing unit 49 for transmitting / receiving data to / from an external computer (not shown) via the Internet N. , A keyboard 50 for inputting characters and the like, a mouse 51 for clicking operations on various screens or the like (for a notebook computer), a track pad, and a display unit 52 such as an LCD display.

The detailed determination program takes in image data (RGB signals) for each brown rice grain M from the color light receiving element portion in the color imaging means, and analyzes the shape and color of each brown rice grain M.
That is, shape analysis such as area, grain length, grain width, aspect ratio for each brown rice grain M is performed from the information on the number of pixels of the image data, and discrimination processing such as sizing, crushed grain, deformed grain, etc. Discrimination of blue immature grains, blue dead grains, white dead grains, colored grains, partially colored grains, etc. is performed from the color information of the data, and sizing, white immature grains, damaged grains, etc. are determined from the color information distribution pattern of the image data. Perform discriminating processing, discriminate processing of body split grains, skin slip grains, germinated grains, germ grains, etc. from the density change of color information of image data, and further whiteness analysis processing with a predetermined threshold for white immature grain image data Thus, a detailed discrimination process as described later for the cloudy part is executed.

  Further, the detailed discrimination program stores the various discrimination processing results in the discrimination processing result information storage means 45, adds a discrimination item to each brown rice grain image data subjected to the discrimination processing, and outputs a detailed discrimination processing output for each brown rice grain M. Information is generated, storage processing in the detail determination processing output information storage means 46, print output processing by the printing means, display processing by the display unit 52, and the like are executed.

Regarding the classification of white immature grains according to the cloudy part, it is already known to be classified into milky white grains, heart white grains, base immature grains, belly white immature grains, and back white grains.
In addition, this system is a combination of the above-mentioned different types of white immature grains. Are expressed as other composite white immature grains.

  To outline each classification, milky grains are those in which the white opaque part is ring-shaped on the cross section of the endosperm part, and heart white grains are white opaque parts in the cross section of the endosperm part that are flat or Spindle-shaped, base immature grains are those whose size of white opaque part of the base is more than one-fifth of the grain length, and belly white immature grains are those of white opaque parts of the abdomen The size is more than two-thirds of the grain length and more than one-third of the grain width. The back white grain means that the size of the white opaque part of the back is 3 of the grain length. It is more than 2 / min and more than 1/3 of the grain width.

  FIG. 15 is a flowchart showing a series of processes in the detailed discrimination system 1 for the white turbidity part of various types of brown rice grain samples in the rice grains according to the present embodiment.

  Next, various functions of the detailed discrimination program in the detailed discrimination system 1 such as the cloudiness portion of various types of brown rice grain samples in the rice grains according to the present embodiment will be described.

  When the operation of the detailed discriminating system 1 such as the cloudiness portion of various types of brown rice grain samples in the rice grain according to the present embodiment is started, a measurement start screen is displayed on the display unit 52.

  The function items at the lower right of the measurement start screen will be outlined with reference to FIG.

  Each function item includes open, save, print, setting, adjustment, scanner image item, grain shape histogram image item, grain number histogram image item, order of order, order before, pixel, etc., and the contents are shown in FIG. .

  A print example corresponding to the print item is shown in FIG.

  Further, FIG. 19 shows an image display example corresponding to the grain shape histogram image item. Here, the average value, standard deviation, and frequency distribution of the measurement results can be displayed by clicking one of the tabs of “grain length”, “grain width”, “grain area”, and “cloudiness area%”. .

  An image display example corresponding to the grain number% histogram image item is shown in FIG. Here, the frequency distribution of the classification result can be displayed by clicking any of the tabs of “basic classification”, “standard classification”, and “detailed classification”.

  Next, when the setting item is selected, a [Setting] screen as shown in FIG. 21 is displayed so that various settings can be made.

  The setting items and contents in this [Setting] screen are as follows.

[Distinction]
To disable whiteness threshold discrimination, select [Disable whiteness threshold discrimination]. Further, when invalidating the background white color discrimination (including the white dead color discrimination (not shown)), select [Disable background white color discrimination]. If it is invalidated in the site setting, the process shifts to cloudy mesh determination. Therefore, if you do not want to determine the white background (including white dead color, not shown), if you do not want to check the white background, Set to 100 or less.

[Save results]
To automatically save the results for each measurement, select [Create folder and save results automatically].

[Print result]
To print the result automatically for each measurement, select [Print result automatically]. You can select the number of prints and print items (number of grains or mass conversion%).

[Grain classification display]
When setting the order and display name of grain classification, click [Set display order and display name] and change the display name and order on the [Granule classification display setting] screen. . An example of the grain classification display screen is shown in FIG.

[Scanner]
When reading and measuring an image from a color image scanner (color imaging means), select [Use Scanner]. To place and measure image files manually, uncheck [Use Scanner]. When [Use Scanner] is unchecked, settings are made to place image files on the C drive. This is because it is necessary when reading the reference image for adjustment.

  When the scanner image button is clicked, a [scanner image] screen is displayed, and an image captured by the scanner can be displayed. An example of the scanner image screen is shown in FIG.

[Choice]
If you left-click on one image on the image captured by the scanner, the corresponding measurement result on the thumbnail screen is selected.

[Enlarge]
When the scanner image icon is clicked, the display image is enlarged as shown in FIG. 23 when the original image is double-clicked to the left or the mouse wheel is turned to the back.

  In addition, right-clicking on the original image by clicking the scanner image icon or rolling the mouse wheel forward reduces the display image to a reduced size, and the left image drags the display image range to move. have.

  If the adjustment item opens a [sorting level adjustment] screen as shown in FIG. 24 and registers the sorting level, the user can arbitrarily adjust his / her own sorting level and obtain a measurement result in accordance with any adjustment. . Further, the registered sorting level is registered in the sorting level selection list on the [Measurement Information Input] screen.

  That is, when manual adjustment is selected on the [Selection Level Adjustment] screen shown in FIG. 24, a user selection level screen is displayed as shown in FIG. 26, and manual adjustment can be performed.

  In the manual adjustment procedure, the selection level name, the weight coefficient of all the grain classifications, the grain number composition ratio, and the like are input.

  The weighting coefficients are all set to a value larger than 0, and the same value is input for immature (belly / back / double).

  Then, click the [Confirm] button to confirm the selection level adjustment.

  In addition, the reference | standard and threshold value for discriminate | determining immature grain (heart / base / abdomen / back / milk) and dead rice (white) can be set on the [Part setting] screen and the [Whiteness analysis] screen. Further, immature grains (double) are classified into composite type (back) and composite type (others) by whiteness threshold discrimination.

  On the other hand, when automatic adjustment is selected on the [Selection Level Adjustment] screen shown in FIG. 24, the screen shown in FIG. 25 is displayed and automatic selection level adjustment can be performed.

  In the automatic adjustment procedure, a selection level name, a weighting factor, and a grain number composition ratio are input.

  That is, the automatic adjustment tab is selected, and the grain number composition ratio (set so that the total composition ratio is 100) is input. Image reading is started by setting an imaging tray on which a sample having a reference number of grains is placed and clicking a [reference image shooting] button.

  As shown in FIG. 27, when the [Adjustment start] button is clicked, the weighting factor of the manual adjustment tab is automatically input. Then, click the [Confirm] button to confirm the selection level adjustment.

  In addition, the reference | standard and threshold value for discriminate | determining immature grain (heart / base / abdomen / back / milk) and dead rice (white) can be set on the [Part setting] screen and the [Whiteness analysis] screen.

  Next, FIG. 28 to FIG. 57 show the measurement procedure of the brown rice grain M by the detailed discrimination system 1 such as the cloudiness part of various types of brown rice grain samples in the rice grain according to the present embodiment, and the functions incidental thereto. The description will be given with reference.

  When the operation of the detailed discrimination system 1 such as the cloudiness portion of various types of brown rice grain samples in the rice grain according to the present embodiment is started, a measurement start screen is displayed on the display unit 52 based on the detailed discrimination program. The

  Following this measurement start screen, a measurement information input screen shown in FIG. 29 is displayed. On this measurement information input screen, the sorting level registered in the sorting level adjustment (such as belly white and white background discrimination mode) is displayed.

  Here, input of the material number, measurement date, and selection of a specific selection level are performed.

When a new summary file addition button is clicked on the measurement information input screen, a summary file new addition screen shown in FIG. 30 is displayed. Here, a summary file name is input.
Then, when the confirmation button is entered on the summary file new addition screen to confirm the summary file name, the measurement information input screen is displayed again on the display screen as shown in FIG.

  Then, when the [Measure] button is clicked, the image reading with respect to the large number of brown rice grains M mounted on the imaging tray 30 and the image analysis by the detailed discrimination processing computer 2 are executed.

  FIG. 32 shows a measurement result screen (thumbnail display screen). In addition, when any one image is double-clicked on the measurement result screen shown in FIG. 32, the screen shifts to the whiteness analysis screen shown in FIG.

  Here, the screen configuration of the measurement result screen and the whiteness analysis screen will be described with reference to FIGS. 34 and 35. FIG.

  In the measurement result screen shown in FIG. 34, “sample number”, “measurement date”, “time”, “selection level”, and “memo” are displayed as measurement information.

  In addition, as the [Grain Size Discrimination Tab], “Grain Size Category”, “Number of Particles”, “Number of Particles%” and “Mass Conversion%” are displayed. Here, “Basic Classification”, “Standard Classification”, “Details” The display can be switched by selecting one of the “classification” display methods.

  In the “Grain shape tab”, “grain quality classification”, “grain length”, “grain width”, and “grain area” of each address of the measurement tray are displayed.

  When one of the thumbnails displayed in the [Thumbnail Display] screen area is clicked, the selection state of the grain shape tab is moved to the corresponding line.

  Furthermore, when any one of the thumbnails is double-clicked, the screen shifts to a whiteness analysis screen shown in FIG.

  On the whiteness analysis screen, [grain information tab] includes “grain length”, “grain width”, “grain area”, “cloudiness area”, “number of cloudiness meshes”, “cloudiness area% (whole)”, “cloudiness” "Area% (heart)", "white turbid area% (base)", "white turbid area% (belly)", "white turbid area% (back)", "white turbid area% (milk white)", "white turbid area% (white dead) ) "," Back white area% "," White dead area% "," Mesh height ", and" Mesh width "are displayed.

  [Grain information] includes “sorting level”, “matrix”, “granule classification”, “grain length”, “grain width”, “grain area”, “white cloudy area”, “number of cloudy meshes”, “white cloudy” "Area% (whole)", "White cloudy area% (heart)", "White cloudy area% (base)", "White cloudy area% (belly)", "White cloudy area% (back)", "White cloudy area% (milk white) , “White cloudy area% (white death)”, “back white area%”, “white dead area%”, “mesh height”, and “mesh width” are displayed.

  The “number of cloudy meshes” is counted as A / 100 mesh when the area ratio of brown rice in the mesh is A%.

In the whiteness analysis screen, [Whiteness tab] is also displayed.
In this [Whiteness tab], “row”, “column”, “R”, “G”, “B”, “brightness”, “cloudiness determination”, “mesh height”, and “mesh width” are displayed. Is done.

  The “R”, “G”, “B”, and “brightness” are displayed as average values in the mesh, and “white turbidity determination” is displayed as 1 when the threshold is greater than 0 and 0 when less than the threshold.

  In addition, the [Threshold Processing] tab is also displayed on the whiteness analysis screen. In this [threshold processing], the cloudy part detection threshold is displayed. “White death”, “milk white”, “heart”, “abdomen”, “back”, “base”, “other” can be selected from the pull-down menu, and the threshold value for each part can be confirmed.

  When [Display mesh] is enabled on the whiteness analysis screen shown in FIG. 33 described above, a mesh is displayed in the grain image as shown in FIG.

  When [Display above threshold value] is enabled on the whiteness analysis screen shown in FIG. 33, mesh positions having whiteness above the threshold value are displayed by coloring as shown in FIG.

  When “Display white dead mesh” is enabled on the whiteness analysis screen shown in FIG. 33, the white dead mesh is displayed with coloring as shown in FIG.

  When [Display background mesh] is enabled on the whiteness analysis screen shown in FIG. 33, the background mesh is displayed with coloring as shown in FIG.

  When [Display germ mesh] is enabled on the whiteness analysis screen shown in FIG. 33, the germ mesh is displayed with coloring as shown in FIG.

  In each of these screens, when the [Save] button is clicked, the whiteness analysis value and the corresponding grain image data are saved.

  The data is collectively stored in the folder of the detailed determination processing output information storage means 46 that stores “year / month / date / time, sample number, row / column” of the save destination, and can be opened at any time by clicking the [Open] button. Is possible.

  Next, the threshold value registration process will be described with reference to FIGS.

  If any one of the thumbnails is double-clicked on the thumbnail display screen shown in FIG. 41, the [Whiteness analysis] screen shown in FIG. 42 is displayed. At this time, the single-grain image is displayed so that the germ is arranged at the lower left.

  Then, [Display mesh] and [Display more than threshold] are enabled, and mesh positions having whiteness exceeding the threshold are displayed by coloring.

  On the [Whiteness Analysis] screen shown in FIG. 42, the color components “R”, “G”, “B”, and “brightness” used in the threshold are selected, and the values are adjusted. The grain information and whiteness are recalculated with the set threshold. The colored display is also updated.

  In this case, the threshold can be set for each part by selecting a part from “White Death”, “Milk White”, “Heart”, “Abdomen”, “Back”, “Base”, “Other” in the pull-down menu. it can.

  Here, “other” is selected when setting a threshold value in a portion other than “white death”, “milky white”, “heart”, “abdomen”, “back”, “base”.

  When the positions of the parts set on the [Part Settings] screen are overlapped, the “white death” threshold is applied with the highest priority. The order of items in the pull-down menu indicates the priority of the threshold.

  When the [Register] button is clicked on the [Whiteness Analysis] screen shown in FIG. 42, the threshold is registered in the selection level.

  When a new threshold is registered, the grain classification displayed on the [Whiteness Analysis] screen is the grain classification recalculated with the newly registered threshold.

  Next, the part setting process will be described with reference to FIGS. 43 and 44.

  When the [Part setting] button is clicked on the [Whiteness analysis] screen shown in FIG. 42, a [Whiteness analysis] screen as shown in FIG. 43 is displayed.

  The threshold and reference settings can be saved and read from the [Save Settings] button and [Read Settings] button on the [Whiteness Analysis] screen.

  Then, the [Part setting] screen shown in FIG. 44 is displayed. On this [part setting] screen, mesh positions and discrimination criteria for immature grains (heart / base / belly / back), immature grains (milk) and dead rice (white) can be input.

  Further, when the [OK] button is clicked, the discrimination criterion is registered in the selection level. When “Use back white color discrimination / white dead color discrimination” is selected, it is possible to discriminate between immature grains (back) and dead rice (white) that do not use the cloudy part detection threshold.

  When the standard is newly registered, the grain classification displayed on the [Whiteness Analysis] screen is the grain classification recalculated with the newly registered threshold.

  When the check state of each part setting is validated on the [part setting] screen shown in FIG. 44, the mesh position of each part can be confirmed on the image. The display of the mesh position on the image is updated by pressing the enter key after enabling the mesh position or by enabling the check state of each part setting.

  Next, a method for discriminating the germ of a grain image will be described with reference to FIG.

  As shown in FIG. 45, the single image is aligned in the vertical direction, and a rectangle surrounding the single image is created. Then, the number of pixels in the area not including the image grain in the rectangle is calculated by dividing it into upper and lower parts of the rectangle.

  Next, the number of pixels in the region not including the grain image is compared between the upper and lower sides, and the one with the larger number of pixels is selected. Further, the selected area is divided into left and right and the same calculation is performed.

  Next, the number of pixels in the region that does not include the grain image on the left and right sides is compared, and the region having a large number of pixels is defined as a region including the germ.

  Next, the grain image is converted so that the germ is arranged in the lower left. Then, image processing is performed to determine a mesh including an embryo.

Next, the grain classification changing process will be described with reference to FIGS. The procedure for changing the grain classification is as follows.
A single image is right-clicked on a thumbnail display screen as shown in FIG. 46, and [Select Grain Size ...] is selected from the right-click menu.

  In this case, when [Exclude] is selected from the right-click menu, the grain classification is changed to “VOID” as shown in FIG. In addition, when selecting [Undo] from the right-click menu, the grain classification is changed to the original grain classification.

  Next, when the [Change] button is clicked on the screen shown in FIG. 47, a [Change grain size classification] screen is displayed. Select the changed grain classification from the pull-down menu and click the [Change] button.

  When the grain classification is changed, the selection state of one grain image of the thumbnail display screen shown in FIG. 48 changes from white to red.

  To change the grain classification, click the [Change grain classification] button on the [Whiteness analysis] screen shown in FIG. 49 to display the [Change grain classification] screen. It can also be changed. Furthermore, it can also be performed from the [Whiteness Analysis] screen.

  Next, the germ position changing process will be described with reference to FIGS. 50 to 53. The procedure for changing the germinal position is as follows.

  When the [Change Germ Position] button on the [Whiteness Analysis] screen as shown in FIG. 50 is clicked, the [Change Germ Position] screen shown in FIG. 51 is displayed.

  Next, on the [Change Germ Position] screen, when the position where the germ exists is clicked on the image and the [Change] button is clicked, the screen changes to the germ position as shown in FIG.

  When the germ position is changed, the grain information and the whiteness information are recalculated, and the recalculated result screen is displayed as shown in FIG.

  Next, mesh change processing will be described with reference to FIGS. The procedure for changing the mesh is as follows.

  When the [Change Mesh] button is clicked on the [Whiteness Analysis] screen as shown in FIG. 54, the [Change Mesh] screen as shown in FIG. 55 is displayed.

  When [germ mesh] is selected on this [Mesh Change] screen and [Change] is clicked, the [Change Process] screen shown in FIG. 56 is displayed.

  Then, on the [Change Process] screen, click the embryo mesh area to be changed, and switch the mesh state (such as wide or narrow mesh width).

  Note that the mesh can be changed in the same procedure for mesh regions other than the embryo mesh region.

  When the button at the upper right of the screen is clicked on the [Change Processing] screen and the screen is closed, the grain information is recalculated and the recalculation result is displayed on the screen.

  Next, the recalculation process will be described with reference to FIG.

This recalculation process is to recalculate the grain information and whiteness information of all brown rice grains without rescanning when the cloudy part detection threshold, the site setting, and the germ position are changed as described above. .
The recalculation procedure is to recalculate by selecting [Recalculate] from the [Measure] button menu on the thumbnail display screen shown in FIG. 57 after changing the cloudy area detection threshold, site setting, and embryo position. To do.

  According to the embodiment described above, the image data for each brown rice grain M from the color light receiving element portion 12 in the color imaging means 4 is taken in by the detailed discrimination processing computer 2 in particular, and for each brown rice grain M. , Shape, color analysis, milk white grain, heart white grain, blue immature grain, base immature grain, belly white immature grain, back white grain, other immature grains and other immature grains, white immature grain whiteness analysis It is configured to perform various discrimination processes such as the cloudiness part, grain length, grain width, grain area, cloudiness area, etc., and to store the discrimination process result and output it to the printing means etc. In particular, various types of immature white grains can be discriminated in detail according to the type of the brown rice grains M sample, and various types of rice grains that can easily obtain information on the cloudy part grains and their areas, etc. Such as the cloudiness part of various types of brown rice grain samples It is possible to realize a fine discrimination system 1.

Moreover, according to the present Example, the detailed discrimination | determination program which can implement | achieve the detailed discrimination | determination system 1 of the cloudiness site | part etc. of various types of brown rice grain samples among the rice grains which show the said effect can be provided easily.
As described above, with regard to various types of brown rice grain samples of rice grains, it is possible to obtain information on the cloudy part grains and areas thereof, and further, various white immature grains of brown rice grains can be identified by type. However, in the present invention, the above-described detailed discrimination system such as the cloudy part only replaces the brown rice grain sample described above with the polished rice sample, and the rice grains containing various polished rice grain samples are used. Rice grains containing various kinds of polished rice samples using the same devices, systems, procedures, and control systems as the above-described detailed discrimination system for the brown rice grains, such as the white turbidity, for short grain seeds, medium grain seeds, and long grain seeds. As described above, it is possible to realize and implement a detailed discrimination system such as a cloudy part.

  Furthermore, according to the present embodiment, the above detailed determination program can be read by a computer and stored so as to be executable, so that an existing notebook computer or the like can function as the detailed determination processing computer 2 as described above. A medium 53 can be provided.

  The present invention can be widely applied for detailed discrimination of brown rice grains as described above and for detailed discrimination of other cereal grains such as polished rice grains and wheat grains.

DESCRIPTION OF SYMBOLS 1 Detailed determination system of the cloudiness part etc. of rice grain 2 Computer for detailed determination processing 4 Color imaging means 11 Light source 12 Color light receiving element part 13 Imaging stand 21 Reflecting plate 30 Imaging tray 31 Alignment plate 31a Grain hole 31b Outer peripheral side wall surface 31c Wall surface image 32 bottom plate 33 fixing bracket 34 bowl-shaped hole 35 step 36 imaging cover 41 control means 42 program memory 43 image data processing section 44 discrimination basic information storage means 45 discrimination processing result information storage means 46 detailed discrimination processing output information storage means 47 printing Interface for means 48 Interface for storage medium 49 Communication processing section 50 Keyboard 51 Mouse 52 Display section 53 External storage medium M Brown rice grain

Claims (8)

An imaging tray in which a large number of grain holes are arranged, and a large number of rice grains that are symmetrical for detailed discrimination are mounted horizontally in each grain hole,
A light source that irradiates light to each rice grain mounted on the imaging tray, a black reflector, and a color light receiving element portion that receives surface reflected light from each rice grain, and a plurality of grains of the imaging tray Reflected light type color imaging means for optical imaging scanning of a large number of rice grains mounted in the hole;
A computer for detailed determination processing that captures color image data of each rice grain imaged by the color imaging means, performs detailed determination processing such as a cloudiness portion of the rice grain, and generates a detailed determination processing result such as a cloudiness portion of each rice grain;
Printing means for printing out detailed discrimination processing results, etc .;
It is a detailed discrimination system such as a cloudy part of rice grains having
The detailed determination processing computer includes:
Capture image data for each rice grain from the color light receiving element part in the color imaging means, and for each rice grain, shape, color analysis, milky white or whole powdery grain, heart white grain, base immature grain or semi-powdered form A program memory storing a detailed discrimination program for performing various discrimination processes such as discrimination of various immature grains such as granule, belly white immature grain, and back white grain;
Discrimination basic information storage means having a discriminant item information file storing discriminant item information relating to the cloudiness part of the rice grain,
Discrimination processing result information storage means for storing various discrimination processing results by the detailed discrimination program;
Detailed discrimination processing output information storage means for storing detailed discrimination processing output information for each rice grain generated by processing with discrimination items for the image data of each rice grain subjected to discrimination processing;
A detailed discrimination system for a cloudy part of rice grains characterized by comprising: An imaging tray in which a large number of grain holes are arranged, and a large number of rice grains that are symmetrical for detailed discrimination are mounted horizontally in each grain hole,
A light source that irradiates light to each rice grain mounted on the imaging tray, a black reflector, and a color light receiving element portion that receives surface reflected light from each rice grain, and a plurality of grains of the imaging tray Reflected light color imaging means for optical imaging scanning of a large number of rice grains mounted in a hole.
A computer for detailed determination processing that captures color image data of each rice grain imaged by the color imaging means, performs detailed determination processing such as a cloudiness portion of the rice grain, and generates a detailed determination processing result such as a cloudiness portion of each rice grain;
Printing means for printing out detailed discrimination processing results, etc .;
It is a detailed discrimination system such as a cloudy part of rice grains having
The detailed determination processing computer includes:
Capture image data for each rice grain from the color light receiving element part in the color imaging means, and for each rice grain, shape, color analysis, milky white or whole powdery grain, heart white grain, base immature grain or semi-powdered form A detailed discriminating program that performs various discriminating processes such as white turbidity part, grain length, grain width, grain area, and cloudiness area by whiteness analysis of discrimination of various immature grains such as granule, belly white immature grain, back white grain etc. was stored Program memory,
Discrimination basic information storage means having a discriminant item information file storing discriminant item information relating to the cloudiness part of the rice grain,
Discrimination processing result information storage means for storing various discrimination processing results by the detailed discrimination program;
Detailed discrimination processing output information storage means for storing detailed discrimination processing output information for each rice grain generated by processing with discrimination items for the image data of each rice grain subjected to discrimination processing;
A detailed discrimination system for a cloudy part of rice grains characterized by comprising: An imaging tray in which a large number of grain holes are arranged, and a large number of rice grains that are symmetrical for detailed discrimination are mounted horizontally in each grain hole,
A light source that irradiates light to each rice grain mounted on the imaging tray, a black reflector, and a color light receiving element portion that receives surface reflected light from each rice grain, and a plurality of grains of the imaging tray Reflected light type color imaging means for optical imaging scanning of a large number of rice grains mounted in the hole;
A computer for detailed determination processing that captures color image data of each rice grain imaged by the color imaging means, performs detailed determination processing such as a cloudiness portion of the rice grain, and generates a detailed determination processing result such as a cloudiness portion of each rice grain;
Printing means for printing out detailed discrimination processing results, etc .;
It is a detailed discrimination system such as a cloudy part of rice grains having
The detailed determination processing computer includes:
Capture image data for each rice grain from the color light receiving element in the color imaging means, for each rice grain, shape, color analysis, milky white, milky white or whole powdery grain, heart white grain, base immature grain or Discrimination of various immature grains such as semi-powdered grains, belly-white immature grains, dorsal white grains, etc. Detailed discriminating program that performs various discriminating processes such as white cloudy part, grain length, grain width, grain area, white cloudy area, etc. A program memory storing
Discrimination basic information storage means having a discriminant item information file storing discriminant item information relating to the cloudiness part of the rice grain,
Discrimination processing result information storage means for storing various discrimination processing results by the detailed discrimination program;
Detailed discrimination processing output information storage means for storing detailed discrimination processing output information for each rice grain generated by processing with discrimination items for the image data of each rice grain subjected to discrimination processing;
A detailed discrimination system for a cloudy part of rice grains characterized by comprising:   The rice grain according to any one of claims 1 to 3, wherein the rice grain contains immature grains of brown rice grains, that is, blue immature grains, and other immature grains. A large number of grain holes are arranged, and a large number of rice grains that are symmetrically discriminating in detail are horizontally mounted on each grain hole. It is a detailed discrimination program such as cloudiness part,
From the information on the number of pixels of the image data, the area for each rice grain, grain length, grain width, aspect ratio, etc., sizing, crushed, malformed grain, etc.,
Discrimination processing of colored grains, partially colored grains, blue immature grains, and other immature grains from the color information of the image data,
Distinguishing process such as sizing, immature grain or powdery grain, damaged grain from the distribution pattern of color information of image data,
Discrimination processing of body split grain, skin slip grain, germination grain, germ grain, etc. from density change of color information of image data,
Milky white grains or whole powdery grains, heart white grains, base immature grains, semi-powdered grains or belly white immature grains, back white grains, back white complex type white immature grains, etc. by whiteness analysis on the discriminated rice grain image data Detailed discrimination processing of various rice grains such as composite white immature grains,
Processing to store various discrimination processing results,
A process for generating and storing detailed discrimination processing output information for each rice grain by executing an addressing process discrimination item with respect to each rice grain image data that has been discriminated based on the discriminant item information on the cloudiness part of the rice grain,
A detailed discrimination program such as a cloudy portion of rice grain, wherein each process including the above is made computer-executable. A large number of grain holes are arranged, and a large number of rice grains that are symmetrically discriminating in detail are horizontally mounted on each grain hole. It is a detailed discrimination program such as cloudiness part,
From the information on the number of pixels of the image data, the area for each rice grain, grain length, grain width, aspect ratio, etc., sizing, crushed, malformed grain, etc.,
Discrimination processing of colored grains, partially colored grains, blue immature grains, and other immature grains from the color information of the image data,
Distinguishing process such as sizing, immature grain or powdery grain, damaged grain from the distribution pattern of color information of image data,
Discrimination processing of body split grain, skin slip grain, germination grain, germ grain, etc. from density change of color information of image data,
Milky white grains or whole powdery grains, heart white grains, base immature grains, semi-powdered grains or belly white immature grains, back white grains, back white complex type white immature grains, etc. by whiteness analysis on the discriminated rice grain image data Detailed discrimination processing of various rice grains such as composite white immature grains,
Various details discrimination processing such as cloudiness part, grain length, grain width, grain area, cloudiness area by whiteness analysis of rice grain,
Processing to store various discrimination processing results,
Processing for generating and storing detailed discrimination processing output information for each rice grain by executing discrimination item attaching processing for each rice grain image data subjected to discrimination processing on the basis of discrimination item information regarding the cloudiness portion of the rice grain,
A detailed discrimination program such as a cloudy portion of rice grain, wherein each process including the above is made computer-executable.   The rice grain according to claim 5 or 6, wherein the rice grain contains immature grains of brown rice grains, that is, blue immature grains, and other immature grains.   A storage medium storing the computer program for reading and executing the detailed discrimination program for the white turbidity of rice grains according to claim 5.