JP4126009B2 - Granular inspection object state discrimination device - Google Patents

Description

  The present invention relates to a granular inspection object state determination device for determining the finished state of a granular inspection object.

  A granular inspection object, for example, a grain such as white rice (hereinafter referred to as white rice) is generally eaten as a staple food by cooking rice. The condition of white rice for good cooking is that the white rice does not break during soaking before cooking or during cooking.

  That is, when white rice is cracked, gel-like starch granules are eluted from the cracked portion, cooked in a sticky state, poor in texture, and poor in taste.

  The white rice (broken rice) where cracks occur is caused by the growth environment of the rice or the method of rice milling, so rice millers are nervous about the procurement of rice that is difficult to crack and the method of rice polishing that is difficult to crack. The current situation is that they are sharpened, but even then, there is no possibility that mixed grains will be mixed, and inspection after purchase or after milling is essential.

  The conventional discriminating inspection of cracked rice involves sampling a predetermined amount (about 100 grains) of white rice in polished rice, immersing the sampled white rice in water for a predetermined time (about 20 minutes), and the subsequent cracking condition. Is determined visually, the ratio of the split rice to the sampled white rice is determined, and this ratio is compared with the reference value to determine whether the lot containing the sampled white rice (the rice purchased from the same place at the same time) is acceptable. Was.

  The rejected lot needs to be handled separately from the accepted product, or the milled rice must be readjusted.

  For reference, Patent Document 1 has been proposed as a technique for automatically determining the quality of a grain state.

In this patent document 1, whether or not a grain is finished is judged based on an image captured by a CCD camera or the like, and the color, size, shape, etc., of the seed is accurately determined, and discrimination with high accuracy is performed. Is possible.
Japanese Patent No. 3058940

  However, in the conventional visual inspection by an inspector or the like, it is not possible to accurately determine the soaking particle size and the ratio thereof, and the pass / fail judgment, and it takes time and labor for the inspection work, resulting in poor workability.

  Moreover, in the automatic discrimination apparatus like patent document 1, it does not respond | correspond to discrimination | determination of the broken grain generate | occur | produced by immersion, but detects the crack part generate | occur | produced by rice cooking (that is, it generate | occur | produces by containing water) is not.

  In consideration of the above fact, the present invention can automatically determine the presence / absence of soaking split particles based on the photometric data of the granular test object containing moisture, and can calculate the ratio to the number of samplings. It is an object to obtain a granular object state discriminating apparatus capable of performing proper pass / fail determination.

In order to solve the above-mentioned problem, the invention according to claim 1 is a granular inspection object state determination device for determining a finished state of a granular inspection object, and has a tray structure capable of storing a predetermined amount of water. In addition, a tray that holds the granular inspection object in a state of being immersed in the stored water, and the granular inspection object on the tray are scanned and read while irradiating light, and photometric data is obtained. A photometric device to be obtained, image data converting means for converting the photometric data obtained by the photometric device into image data of the granular object to be inspected, and based on the image data, points of the contour and the center of gravity of the granular object to be inspected a coordinate data generating means for generating coordinate data of the position, on the basis of the coordinate data, a distance calculating means for calculating a distance from the said center of gravity of each contour point, the distance and Tokoro computed by the distance computing means And distance comparing means for comparing the distance threshold value, the change amount calculating means for said distance calculated by said distance calculating means for calculating an amount of change that changes in the contour points adjacent to each other, the change amount calculation means Change amount comparing means for comparing the change amount calculated by the above and a predetermined change amount threshold value, the contour point determined to be split by immersion according to the comparison result of the distance comparison means, and When the contour point determined to be split by immersion based on the comparison result of the change amount comparison means is within a predetermined angle centered on the axis, with the axis connecting the center of gravity as a reference, the granular inspection object It is characterized by discriminating from broken grains by immersion .

  According to the first aspect of the present invention, a predetermined amount of water is stored in the tray, and the granular inspection object is immersed in the stored water. Examples of the granular test object include grains such as rice.

  In the photometric device, the granular inspection object on the tray is irradiated with light to perform scanning reading to obtain photometric data. This scanning reading is preferably performed after the granular object to be inspected is immersed in water and left for a predetermined time (for example, about 20 minutes).

  The image data conversion means converts photometric data obtained by scanning and reading into image data of a granular inspection object. The coordinate data creating means obtains the coordinates of each point of the contour of the granular inspection object and the position of the center of gravity based on, for example, a density change of the image data, and creates coordinate data. The distance calculation means calculates the distance from the center of gravity of each contour point from the coordinates of the contour point and the center of gravity based on the coordinate data. The change amount calculating means calculates a change amount in which the distance from the center of gravity of each contour point calculated by the distance calculating means changes at adjacent contour points. The amount of change may be a value representing the magnitude of the change, such as a difference in distance or a value obtained by differentiating the change in distance (distance difference / distance between contour points). May be an absolute value.

Here, splitting by soaking is a sizing (grains without cracks) with cracks, and at the contour point of the cracked part, the distance from the center of gravity is abruptly shortened. The value also changes greatly. For example, if the amount of change is the absolute value of the difference in the distance at which the distance from the center of gravity of the adjacent contour points changes, the distance from the center of gravity at the contour point of the cracked portion will decrease rapidly, and the absolute value of the difference in distance Is a larger value than other than the cracked part. Therefore, it is possible to predetermine a change amount threshold value for determining that the granular inspection object is cracked by an experiment.
Also, if there is a crack in the granular test object, the distance from the center of gravity becomes extremely short at the contour point of the crack, and the amount of change in the distance from the center of gravity is changed from the unbroken part to the contour point of the crack, the cracked part. It changes greatly in the part which changes to the outline point of the part which is not cracked. For this reason, the contour point (including the same contour point) in the vicinity of the contour point that is determined to be soaked by the distance comparison unit is determined to be soaked by the change amount comparison unit. Therefore, based on the axis of the contour point and the center of gravity that are determined to be immersion splitting by the distance comparison means, the contour point that is determined to be immersion splitting by the variation comparison means is within a predetermined angle centered on the axis. It becomes.

The distance comparison means compares the distance calculated by the distance calculation means with a predetermined distance threshold value, and the change amount comparison means sets the change amount calculated by the change amount calculation means as a predetermined change amount threshold value. Compare . Then, with reference to the axis connecting the center of gravity and the contour point determined to be split by immersion according to the comparison result of the distance comparison means, the contour point determined to be split by immersion by the comparison result of the variation comparison means is the axis. When the angle is within a predetermined angle with respect to the center, the granular object to be inspected is discriminated as being divided by immersion.

In this way, the shape that satisfies the condition (distance from the center of gravity and the amount of change) where the cracks overlap by determining whether the contour point determined to be soaked by the change amount comparison means is within a predetermined angle. And the accuracy of discrimination of the granular object state discriminating apparatus is improved.
  In addition, it is preferable that a predetermined angle can be set as appropriate according to the granular inspection object, and the swing width around the axis (0 °) is 5 ° to 10 °.

The invention according to claim 2 is a granular inspection object state determination device for determining a finished state of a granular inspection object having at least a long axis region and a short axis region, and stores a predetermined amount of water. A tray having a possible receiving tray structure and holding the granular inspection object in a state of being immersed in stored water, and scanning reading while irradiating the granular inspection object on the tray with light. A photometric device that executes and obtains photometric data, an image data converting means that converts the photometric data from the photometric device into image data of the granular inspection object, and a weight of the granular inspection object based on the image data Coordinate data creating means for defining the position of the center and the short axis region of the granular object to be inspected, and creating coordinate data regarding each point of the contour within a predetermined angle with respect to the short axis, and based on the coordinate data The above A distance calculating means for calculating a distance of the contour point from the center of gravity; and a distance comparing means for comparing the distance calculated by the distance calculating means with a predetermined distance threshold value. On the basis of the comparison result, splitting by the immersion of the granular inspection object is discriminated.
The invention according to claim 3 is a granular inspection object state determination device for determining the finished state of an inspection object having a granular shape and having at least a major axis region and a minor axis region. And a tray that holds the granular specimen to be immersed in the stored water, and scans the granular specimen on the tray while irradiating light. A photometric device that performs reading and obtains photometric data, an image data conversion means that converts the photometric data obtained by the photometric device into image data of the granular test object, and the granular test object based on the image data A coordinate data generating means for determining the position of the center of gravity and the short axis region of the granular inspection object, and generating coordinate data relating to each point of the contour within a predetermined angle with respect to the short axis, and based on the coordinate data The Distance calculating means for calculating the distance from the center of gravity of each contour point; and distance comparing means for comparing the distance calculated by the distance calculating means with a predetermined distance threshold. Based on the comparison result of the comparison means, it is characterized by discriminating split grains by the immersion of the granular test object.
Furthermore, the invention according to claim 4 is a granular inspection object state determination device for determining the finished state of an inspection object having a granular shape and having at least a long axis region and a short axis region, and comprising a predetermined amount of water And a tray that holds the granular test object in a state where it is immersed in the stored water, and scans the granular test object on the tray while irradiating light. A photometric device that performs reading and obtains photometric data, an image data conversion means that converts the photometric data obtained by the photometric device into image data of the granular test object, and the granular test object based on the image data A coordinate data generating means for determining the position of the center of gravity and the short axis region of the granular inspection object, and generating coordinate data relating to each point of the contour within a predetermined angle with respect to the short axis, and based on the coordinate data A distance calculating means for calculating the distance of each contour point from the center of gravity; a distance comparing means for comparing the distance calculated by the distance calculating means with a predetermined distance threshold; and the distance calculating means. A change amount calculation means for calculating a change amount at which the calculated distance changes at the contour points adjacent to each other, and the change amount calculated by the change amount calculation means are compared with a predetermined change amount threshold value. And a contour comparison point for which splitting is determined by the comparison result of the distance comparison unit and a contour point for which splitting is determined by the comparison result of the variation comparison unit. In the case of the contour point, it is characterized by discriminating the split grain by the immersion of the granular inspection object.

According to the invention described in claims 2 to 4 , a predetermined amount of water is stored in the tray, and the granular test object is immersed in the stored water. Examples of the granular test object include grains such as rice.

  In the photometric device, the granular inspection object on the tray is irradiated with light to perform scanning reading to obtain photometric data. This scanning reading is preferably performed after the granular object to be inspected is immersed in water and left for a predetermined time (for example, about 20 minutes).

The image data conversion means converts photometric data obtained by scanning and reading into image data of a granular inspection object. The coordinate data creation means determines the position of the center of gravity of the granular object to be inspected and the short axis region of the granular object to be inspected based on , for example, a density change of the image data, and each contour within a predetermined angle with respect to the short axis. Create coordinate data for a point. The distance calculation means calculates the distance from the center of gravity of each contour point from the coordinates of the contour point and the center of gravity based on the coordinate data.

Here, in the case of a granular test object, for example, white rice, even if there is no crack, the part of the germ (long axis region) is partially lost, so the distance from the center of gravity is shortened, and it is mistaken that it is split grain There is a possibility of discrimination. In addition, it has been experimentally known that most of the cracked portions generated by dipping occur in a specific range (back, abdomen) based on the short axis, and the back and abdomen of white rice are within the short axis region.
Therefore, the coordinate data creation means can create coordinate data of contour points in a specific range of the short axis region by appropriately setting a predetermined angle with respect to the short axis. In addition, by calculating and comparing the distance and the change amount based on the coordinate data of the contour points in the specific range, it is possible to prevent erroneous determination due to portions other than the specific range. Further, the number of contour points to be calculated is reduced, and the processing time for calculating the distance from the center of gravity and the amount of change of each contour point can be shortened .
Splitting by soaking is a sizing (grains without cracks) with cracks, and at the contour points of the cracks, the distance from the center of gravity is abruptly shortened, so the amount of change is also large. Change. For example, if the amount of change is the absolute value of the difference in distance at which the distance from the center of gravity of the adjacent contour points changes, the distance from the center of gravity at the contour point of the cracked portion will decrease rapidly, and the absolute value of the difference in distance Is a larger value than other than the cracked part. Therefore, it is possible to predetermine a change amount threshold value for determining that the granular inspection object is cracked by an experiment.
In addition , if there is a crack in the granular test object, the distance between the center of gravity and the contour point of the cracked part becomes extremely short. It can be predetermined.

In the second aspect of the present invention, the change splitting means discriminates the soaking crack by comparing the change amount calculated by the change amount calculation means with a predetermined change amount threshold value.
In this way, since the granular inspection object is determined based on the amount of change, it is possible to reliably determine the immersion split particles of the granular inspection object generated by the immersion. Therefore, the discrimination accuracy of the granular inspection object state discrimination device is improved.
In the invention described in claim 3, the distance comparing means determines immersed split grains by comparing the distance from the calculated center of gravity by the distance calculating means with a predetermined distance threshold.

In this way, since the granular inspection object is determined based on the distance from the center of gravity of each contour point, it is possible to reliably determine the divided particles of the granular inspection object generated by the immersion. Therefore, the discrimination accuracy of the granular inspection object state discrimination device is improved.
In the invention according to claim 4, the contour point whose splitting is determined by the comparison result of the distance comparing means and the contour point whose splitting is determined by the comparison result of the change amount comparing means are the same point or a neighboring contour point If it is, the splitting due to the immersion of the granular test object is discriminated.
As described above, since the contour point whose splitting is determined by the comparison result of the distance comparison unit and the contour point whose splitting is determined by the comparison result of the change amount comparison unit are determined, the granular coating generated by the immersion is determined. It is possible to reliably determine the soaking split grain of the inspection object. Therefore, the discrimination accuracy of the granular inspection object state discrimination device is improved.

The invention according to claim 5 is the invention according to any one of claims 1 to 4 , wherein the distance calculation means has a minimum distance between the contour point adjacent to the contour based on image data on the contour. The distance from the center of gravity is calculated from the contour points at intervals of multiple times.

According to the fifth aspect of the present invention, when the resolution (number of pixels) per granular inspection object of the image data obtained by performing scanning reading on the granular inspection object is high, the distance from the adjacent contour point Becomes shorter and the number of contour points also increases. When the number of contour points increases, the processing time for calculating the distance from the center of gravity and the amount of change of each contour point increases.

  Therefore, the distance calculation means calculates the distance from the centroid on the contour by calculating the distance from the centroid at the contour points at intervals obtained by multiplying the minimum distance between adjacent contour points by a plurality of times. The number can be reduced. Further, by adjusting the multiple to be multiplied, the interval between the contour points for calculating the distance from the center of gravity becomes appropriate, and a contour that does not impair the characteristics of the original image can be obtained.

  Therefore, by adjusting the multiple according to the resolution of the image data, the number of contour points for calculating the distance from the center of gravity on the contour of the granular object to be inspected is reduced, and the processing can be performed efficiently.

The invention according to claim 6 is the invention according to any one of claims 1 to 4 , wherein the distance calculation means has a minimum distance between the contour point adjacent to the contour based on image data on the contour. For each of a plurality of intervals, the coordinates of the contour points in the interval are averaged, and the distance between the averaged coordinates and the center of gravity is calculated.

According to the invention of claim 6 , the distance calculation means averages the coordinates of each contour point in the interval for each interval obtained by multiplying the minimum distance between adjacent contour points by a plurality of times on the contour, and averaged coordinates. And the distance between the center of gravity. When the averaged coordinates are obtained, the contour by the averaged coordinates approximates the contour by the original image data.

  In addition, the distance calculation means adjusts the multiple to be multiplied, thereby reducing the number of contour points for calculating the distance from the center of gravity on the contour of the granular object to be inspected, thereby enabling efficient processing.

  Therefore, the processing can be efficiently performed by adjusting the multiple according to the resolution of the image data, and the contour point approximated to the contour based on the original image data can be discriminated.

The invention according to claim 7 is characterized in that, in the invention according to any one of claims 1 to 6 , the determination of the split grains by the immersion determines the generation ratio of the split grains.

According to the seventh aspect of the present invention, it is possible to easily determine the quality in the determination result by obtaining the generation ratio after the determination of the broken grains.

  As described above, the present invention can automatically calculate the presence / absence of immersion splitting and the ratio to the number of samplings based on the photometric data of the granular test object containing moisture, and can pass the test quickly and appropriately. It has the outstanding effect that it can judge.

(First embodiment)
The first embodiment of the present invention will be described below with reference to the drawings.

  FIG. 1 shows a determination device 10.

  The discriminating apparatus 10 includes a pair of box bodies 12 and 14 connected to each other by a hinge (not shown) and housed in an openable / closable briefcase-type housing 16. FIG. 1 shows a use state.

  That is, the pair of box bodies 12 and 14 are placed in a state where they are opened 180 degrees from each other. During storage, the pair of box bodies 12 and 14 rotate around the hinge, and the open ends face each other and are closed, thereby protecting internal precision equipment (note that In the present embodiment, the cover 46 is closed with the cover 46 described later removed).

  A controller 12 (which may be a general-purpose personal computer) 18 and a printer 20 are accommodated in one box 12 (the back side in FIG. 1). The controller 18 and the printer 20 are connected by a connection cable (not shown) so that the data processed by the controller 18 can be printed out by the printer 20. The controller 18 is provided with an LCD monitor 18A.

  Further, the controller 18 has a function of controlling the operation of the discriminating device main body 22 accommodated in the other box 14, and the discriminating device main body 22 is configured to operate according to an instruction from the controller 18. ing. In addition, it is preferable to connect the controller 18 and the discrimination | determination apparatus main body 22 with flexible wiring cables (illustration omitted), such as a flexible cable which is not damaged by opening and closing of the box bodies 12 and 14. FIG.

  FIG. 2 shows a schematic configuration of the discrimination device main body 22.

  The discriminating apparatus main body 22 includes a scanner unit 24 serving as a base and a cover 46.

  The scanner unit 24 includes a box-shaped casing 28 whose upper surface portion excluding the peripheral edge is opened, and a transparent glass plate 30 is fitted into the opened portion.

  A tray 72, which will be described later, is positioned on the transparent glass plate 30, and this tray 72 serves as a grain mounting table.

  In addition, a line scanning imaging unit 32 is disposed below the transparent glass plate 30.

  The line scanning type imaging unit 32 includes an imaging element array 34A in which imaging elements are arranged in an array from the front side to the back side in FIG. 2 (main scanning direction), and a cylindrical light source provided along the imaging element array 34A. The head 34 is provided with a head part 34 provided with 34B, and the head 34 moves the lower part of the transparent glass plate 30 along the left-right direction in FIG. 2 by the driving force of the scanner motor 36 (sub-scanning direction).

  Thereby, almost the entire surface of the transparent glass plate 30 can be scanned by the imaging element array 34A.

  The cover 46 is provided so as to cover the upper part of the casing 28 including the upper part of the transparent glass plate 30. The cover 46 is opened when the tray 72 is positioned on the transparent glass plate 30 and is closed during photometry after positioning.

  With the tray 72 positioned on the transparent glass plate 30, the head part 34 is reciprocated once, so that the grains on the tray 72 can be measured (imaged). The metered data is sent to the controller 18.

  FIG. 3 shows the structure of the tray 72.

  The tray 72 according to the present embodiment has a tray structure in which vertical wall portions 52 are integrally formed from four sides of a rectangular bottom plate portion 50 and have a predetermined volume. At one upper end of the vertical wall portion 52 on the short side, a grip portion 54 that is bent substantially at a right angle toward the outside is formed. An operator can attach and detach the transparent glass plate 30 by holding the holding portion 54.

  The bottom plate portion 50 is transparent and serves as a mounting surface for white rice 56 as a granular inspection object. When this white rice 56 is placed, in the present embodiment, water 66 is stored in a region having a tray structure. The water 66 is held by the vertical wall portion 52 without spilling, and in this state, a predetermined number of white rice 56 (about 100 grains in the present embodiment) is placed.

  In addition, when placing, white rice 56 is made not to overlap, but it is not necessary to align.

  The tray 72 in which the water 66 is stored and the white rice 56 is placed as described above is left for about 20 minutes, then placed on the transparent glass plate 30, and the cover 46 is closed to complete measurement preparation. To do.

  The white rice 56 may be dipped in the water 66 to produce a defective product in which broken grains are generated. In the present embodiment, the scanner unit 24 is used to determine whether or not the broken grains are generated. The head part 34 moves (scans) below the transparent glass plate 30 to image (photometrically) the white rice 56.

  FIG. 4 is a block diagram functionally showing the control of the controller 18 for determining the soaked broken grains, the ratio thereof, and the pass / fail determination according to the first embodiment.

  The head unit 34 is connected to the image data generation unit 100, and data (photometric data) captured by the head unit 34 is sent to the image data generation unit 100.

  The image data generating unit 100 converts the photometric data into image data, detects the grain outline 60 (see FIG. 7A) based on the density of the image data, and images of each white rice 56 per grain. Data is generated and stored in the image data memory 102.

  As a result, the image data memory 102 stores image data of about 100 grains of white rice 56 on the tray 72.

  The image data stored in the image data memory 102 is read out one by one by the coordinate data creation unit 104, and the number M of all contour points of white rice 56 (see FIG. 7A) is determined from the image data (depending on the resolution). And the coordinates of the respective contour points 62 and the coordinates of the center of gravity 58 of the white rice 56 are obtained and sent to the distance calculation unit 106. Here, each contour point 62 shown in FIG. 7A is defined as a contour point m (m = 1 to M).

The distance calculation unit 106 calculates the distance RG _m (m = 1 to M) of the contour point m from the center of gravity 58 from the contour point m (m = 1 to M) of the sent white rice 56 and the coordinates of the center of gravity 58. And sent to the change amount calculation unit 108. Further, the calculated distance RG _m is stored in the distance storage memory 110.

In the change amount calculation unit 108, the absolute value of the difference in distance at which the distance from the centroid 58 changes between the contour point m and the adjacent contour point m-1 from the transmitted distance RG _m (m = 1 to M). DR _m (m = 1 to M) (see FIG. 7C) is calculated and stored in the change amount storage memory 112 as the change amount at the contour point m. As for the amount of change at the contour point 1 (start point), the absolute value DR ₁ (FIG. 7C) of the difference depending on the distances RG _M and RG ₁ from the center of gravity 58 of the adjacent contour point M (see FIG. 7A). ))).

That is, the image data of the white rice 56 is read one by one from the image data memory 102 by the coordinate data creation unit 104, and the distance between the whole contour point of the white rice 56 read by the distance calculation unit 106 and the center of gravity 58 is calculated. By repeating the processing stored in the storage memory 110, the distance RG _m (m = 1 to M) between the center of gravity 58 and each contour point is stored in the distance storage memory 110 for each of about 100 grains of white rice 56 on the tray 72. Is done.

Further, the process of calculating the absolute value DR _m of the difference between the contour point m and the distance from the center of gravity 58 of the contour point m-1 by the change amount calculation unit 108 and storing it in the change amount storage memory 112 is repeated approximately 100. The change amount DR _m (m = 1 to M) is stored in the change amount storage memory 112 for each grain of white rice 56.

  The distance threshold memory 114 stores a fixed distance threshold RL (see the distance threshold RL in FIG. 7B), and the change threshold memory 116 stores a fixed change amount. The threshold DL (see the variation threshold DL in FIG. 7C) is stored. The distance threshold value RL and the change amount threshold value DL are set in advance to appropriate values for discriminating the cracked grain of the white rice 56 through experiments.

The distance comparison unit 118 is connected to the distance storage memory 110, the distance threshold value memory 114, and the split particle discrimination unit 122, reads the distance threshold value RL from the distance threshold value memory 114, and stores it in the distance storage memory 110. The distance RG _m from the center of gravity 58 for each grain of white rice 56 is compared with the distance threshold value RL (RG _m : RL), and the comparison result is sent to the broken grain discrimination unit 122.

On the other hand, the change amount comparison unit 120 is connected to the change amount storage memory 112, the change amount threshold memory 116, and the split particle discrimination unit 122, and reads the change amount threshold DL from the change amount threshold memory 116. Then, the change amount DR _m for each grain of white rice 56 stored in the change amount storage memory 112 is compared with the change amount threshold value DL (DR _m : DL), and the comparison result is sent to the broken grain discrimination unit 122.

The split grain discrimination unit 122 determines that the comparison result of the distance comparison unit 118 is RG _m ≦ RL at any one of the contour points m (m = 1 to M) of one grain of white rice 56, and the change amount comparison When the comparison result of the portion 120 is determined as DR _m ≧ DL, the white rice 56 is determined as a soaked broken grain (defective product). In other cases, the white rice 56 is determined as a good product with no soaking crack. To do.

  The discrimination results in the split grain discrimination unit 122 are aggregated by the split grain ratio calculation unit 124, and the ratio of the white rice 56 determined to be the split grain (defective product) among the sampled whole white rice 56 is calculated, and the LCD monitor 18A. To display. In addition, you may make it print out by the printer 20 with the display on LCD monitor 18A.

  If this ratio is greater than a predetermined reference value, the lot of white rice is determined to be rejected.

  The operation of the first embodiment will be described below.

(Metering procedure)
Water is stored in a tray 72 (see FIG. 3B), and white rice 56 as a sample is immersed in the stored water 66. The soaked white rice 56 is preferably moved so as not to overlap each other, but does not need to be particularly aligned.

  The tray 72 on which the water is stored and the grain is placed allows the white rice 56 to absorb sufficient moisture by allowing it to stand for about 20 minutes. Thereafter, the cover 46 (see FIG. 2) is opened, the tray 72 is positioned on the transparent glass plate 30, and the cover 46 is closed.

  When an operation for prompting the start of imaging (photometry) is performed, the light source 34B of the head unit 34 is turned on, the imaging element array 34A is activated, and driving of the scanner motor 36 is started.

  Thereby, photometry by the head part 34 is started. That is, the white rice 56 on the tray 72 is irradiated with light from the light source 34B, and the head portion 34 is moved while the reflected light is detected by the imaging element array 34A. 56 is imaged.

  When the imaging is completed, the head unit 34 returns to the initial position (home position) for standby of the next photometry.

  The controller 18 (see FIG. 1) processes the fetched data, controls display on the LCD monitor 18A, and controls printing on the printer 20 when a print instruction is issued.

  Hereinafter, according to the flowchart of FIG. 5, an example of image processing and comparison procedures for obtaining the soaked grains of white rice 56 and the generation ratio thereof including imaging of the white rice 56 will be described.

  In step 150, variable n (the number of white rice grains) is set to 1 as an initial setting, variable NG (number of defective products) is cleared (0), and the process proceeds to step 152.

  In step 152, photometric (imaging) processing by the head unit 34 described above is executed, and the process proceeds to step 154.

  In step 154, the measured photometric data is converted into image data, the number N of white rice 56 is recognized based on the density of the image data, and then in step 156, image data of each white rice 56 is generated.

  In step 158, the image data of each white rice 56 is stored in the image data memory 102.

  In step 160, the image data of the nth grain (n = 1 at the first time) is read from the image data memory 102, and then in step 162, the number M of all contour points of the image data (see FIG. 7A) and each The coordinates of the contour point 62 and the coordinates of the center of gravity 58 are obtained.

In step 164, the distance RG ₁ is calculated based on the coordinates of the start point and the center of gravity 58, with one of the contour points 62 obtained as shown in FIG. 7A as the start point (contour point 1). Further, the contour point 62 adjacent to the counterclockwise from the center of gravity 58 is set as the contour point m (m = 1 to M) corresponding to the variable m.

  In step 166, the variable m (contour point 62 count value) is set to 2, and the process proceeds to step 168.

In step 168, the distance RG _m is calculated based on the coordinates of the contour point m and the center of gravity 58, and the process proceeds to step 170.

In step 170, determine the amount of change DR _m at contour point m by computing the absolute value of the difference between the distance RG _m-1 from the center of gravity 58 at a distance RG _m and contour point m-1 from the center of gravity 58 in the contour point m The process proceeds to step 172.

In step 172, it is determined whether or not the variable m (contour point m) has become the total number M of the contour points 62. If a negative determination is made, the process proceeds to step 174 to increment the variable m and to step 168. Returning, the calculation of the distance RG _m between the contour point m and the center of gravity 58 is executed.

  If an affirmative determination is made in step 172, the process of calculating the distance from the center of gravity 58 at all contour points (total number M) of the nth grain is completed as shown in FIG.

In step 176, as shown in FIG. 7A, since the distance calculation process makes one round from the contour point 1 (start point) to the contour point M, the distance RG ₁ from the center of gravity 58 at the contour point ₁ and the contour The absolute value DR ₁ (see FIG. 7C) of the difference of the distance RG _M from the center of gravity 58 at the point M is calculated to determine the amount of change at the contour point 1. As a result, as shown in FIG. 7C, the change amount calculation processing for all contour points (total number M) of the nth grain is completed, and the routine proceeds to step 178.

In step 178, the distance RG _m (m = 1 to M) with the center of gravity 58 of all contour points of the nth grain is stored in the distance storage memory 110, and the amount of change DR _m (m = 1 to m) of all contour points of the nth grain. M) is stored in the change amount storage memory 112.

  In step 180, it is determined whether or not the image data read count n has reached the total number N of white rice 56. If a negative determination is made, the process proceeds to step 182 to increment the variable n, and the process returns to step 160. The next image data of white rice 56 is read out, and distance calculation processing is executed.

  If it is determined affirmative in step 180, that is, if all the measured processing of all the polished rice 56 has been completed, the process proceeds to step 184. The process after step 184 is a process of discriminating the split grain and its ratio.

  In step 184, a soaking split particle discrimination process is executed, and the process proceeds to step 200 shown in FIG.

  In step 200, the variable n is returned to the initial value (1), and then the routine proceeds to step 202 where the distance threshold value RL from the distance threshold value memory 114 and the change amount threshold value DL from the change amount threshold value memory 116 are changed. Read and go to step 204.

  In step 204, the variable m is returned to the initial value (1), and then the routine proceeds to step 206.

In step 206, the distance comparison unit 118 reads the distance RG _m (m = 1 to M) from the center of gravity 58 of all the n-th contour points 62 stored in the distance storage memory 110. Further, the change amount comparison unit 120 reads the change amounts DR _m (m = 1 to M) of all the contour points 62 of the nth grain stored in the change amount storage memory 112, and proceeds to step 208.

In step 208, the distance RG _m and flag FG1 to hold the result of comparison with the distance threshold RL, both good flag FG2 to hold the result of comparing the amount of change DR _m and the threshold amount of change DL (sieved It is cleared to the initial value (0) meaning).

In step 210, the distance RG _m from the center of gravity 58 of the contour point m of the nth grain is compared with the distance threshold RL (RG _m : RL). As shown in the contour point m of FIG. 8B, when it is determined that RG _m ≦ RL, the white rice 56 is identified as a soaked broken grain (defective product) because the contour point m has a cracked portion 57. Then, the process proceeds to step 212, and the flag FG1 is set to 1 (immersion cracking), and the process proceeds to step 214.

On the other hand, if it is determined in step 210 that RG _m > RL, it can be determined that the contour point m is not the cracked portion 57, and the process proceeds to step 214.

In step 214, the variation DR _m of the contour point m of the nth grain is compared with the variation threshold DL (DR _m : DL). As shown by the contour point m in FIG. 8C, when it is determined that DR _m ≧ DL, the white rice 56 is determined to be soaked so that the process proceeds to step 216, and the flag FG2 is set to 1 (soaked soot). ) And the process proceeds to step 218.

On the other hand, if it is determined in step 214 that DR _m <DL, it can be determined that the contour point m is not the cracked portion 57, and the process proceeds to step 218.

  In step 218, it is determined whether or not the determined contour point m is the total number M of the n-th contour points 62. If a negative determination is made in step 218, since all the contour points m of the nth grain have not been compared, the process proceeds to step 220, the variable m is incremented, and the process returns to step 210. The comparison process is performed. If the determination in step 218 is affirmative, the comparison process is completed for all contour points of the nth grain, and the process proceeds to step 222. By performing the comparison processing of step 210 and step 214 at all contour points, the values of the flags FG1 and FG2 are changed to 1 (immersion splitting) at the contour point 62 of the cracked portion 57 and are held.

  In step 222, it is determined whether both the flag FG1 and the flag FG2 are 1 (immersion split grain). When both are 1, this n-th grain is determined to be a soaking broken grain (defective product) and the process proceeds to step 224. In step 224, the NG value is incremented and the routine proceeds to step 226.

  On the other hand, if both the flag FG1 and the flag FG2 are not 1 in step 222, the n-th grain is determined to be non-defective (size regulation), and the process proceeds to step 226.

  In step 226, it is determined whether or not the variable n has become the total number N of white rice 56. If a negative determination is made, the process proceeds to step 228, the variable n is incremented, the process returns to step 204, and the nth grain The comparison process is executed with the white rice 56.

  If it is determined in step 226 that the determination of all white rice 56 (total number N) that has been measured (photographed) has been completed, the soaking broken grain determination process ends. In addition, the NG value is the number of grains determined to be immersion split grains. When the soaking split particle discrimination processing is completed, the routine proceeds to step 186 in FIG.

  In step 186, the ratio of the NG value to the total number N of white rice 56 (the ratio of defects) is calculated to obtain a percentage A (%).

  The calculated defect ratio A% is displayed on the LCD monitor 18A (see FIG. 1) in step 188. By looking at this numerical value, the operator can accurately grasp the ratio of occurrence of the cracked portion 57 with respect to the total number N of white rice 56. Note that the printer 20 may print out the defect ratio A%.

  For the sake of explanation, the distance and change amount calculation processing (steps 164 to 170) and the immersion split particle discrimination processing (FIG. 6) are described separately, but each contour point distance and change amount calculation each time. You may perform the discrimination | determination of a soaking split grain compared with a threshold value.

As described above, in the first embodiment, the water 66 is stored in the tray 72, the white rice 56 is immersed, and the white rice 56 is imaged by the head unit 34 in a state where it is left for a predetermined time (about 20 minutes). Metering), the coordinates of the contour point m and the center of gravity 58 of the white rice 56 are obtained based on the image data obtained by converting the metered data, and the distance RG _m and the change amount DR _m of the contour point m from the center of gravity 58 are calculated. Since the presence of immersion splitting is determined by comparing the distance threshold value RL and the change amount threshold value DL, the immersion splitting is performed much more quickly and accurately than the operator makes a visual determination. Can be determined, and the pass / fail of the white rice lot can be determined.

In the first embodiment, for each contour point m, the distance RG _m and the change amount DR _m are calculated together, and the soaking particle size is determined by comparing the distance threshold value RL and the change amount threshold value DL. However, the immersion splitting may be determined only by the result of comparing the variation DR _m with the variation threshold DL (discriminating condition 1). Further, the distance RG _m distance result of comparing the threshold RL only may be performed determination of immersion split grains (judgment condition 2).

Furthermore, at least one of the result of comparing the variation DR _m with the variation threshold DL (discrimination condition 1) and the result of comparing the distance RG _m with the distance threshold RL (discrimination condition 2) When it is discriminated as a grain, the granular object to be inspected may be discriminated as a soaking broken grain (discrimination condition 3). Thereby, the granular inspection object which has the crack part (For example, the distance from the gravity center 58 of a crack part is more than a marginal distance threshold value RL) which is not discriminate | determined by immersion cracking in any one of the discrimination conditions 1 or 2 Can also be discriminated from soaking split grains.

(Second Embodiment)
Next, a second embodiment of the present invention will be described. The feature of this second embodiment is that
With reference to the axis of the contour point and the center of gravity determined to be a cracked portion based on the comparison result with the distance threshold value RL, the contour point determined as the cracked portion based on the comparison result with the variation threshold DL is the axis. The point is to determine whether the angle is within a predetermined angle.

  The discriminating apparatus 10 of the second embodiment has the same configuration as that of the first embodiment shown in FIG. 1, FIG. 2, and FIG.

  FIG. 12 is a block diagram functionally showing the control of the controller 18 of the second embodiment. Note that portions with the same reference numerals are the same as those in FIG. 4 of the first embodiment, and thus description thereof is omitted, and different portions are described with reference symbol A.

The distance calculation unit 106A calculates the distance RG _m (m = 1 to M) of the contour point m from the center of gravity 58 from the contour point m of the white rice 56 sent from the coordinate data creation unit 104 and the coordinates of the center of gravity 58. The coordinates of the distance RG _m and the contour point m are sent to the change amount calculation unit 108A. Further, the calculated distance RG _m and the coordinates of the contour point m are stored in the distance storage memory 110.

In the change amount calculation unit 108A, the distance at which the distance from the center of gravity 58 changes between the contour point m and the adjacent contour point m-1 from the distance RG _m (m = 1 to M) sent from the distance calculation unit 106A. The absolute value DR _m (m = 1 to M) (see FIG. 7C) is calculated, and the change amount along with the coordinates of the contour point m sent from the distance calculation unit 106A is calculated as the change amount in the contour point m. The data is stored in the storage memory 112.

The distance comparison unit 118A is connected to the distance storage memory 110, the distance threshold value memory 114, and the distance split portion contour point storage memory 130A, reads the distance threshold value RL from the distance threshold value memory 114, and is stored in the distance storage memory. 110, the distance RG _m from the center of gravity 58 is compared with the distance threshold value RL (RG _m : RL), and the distance RG _m is equal to or less than the distance threshold value RL (RG _m ≦ RL). ) Is stored in the distance crack portion contour point storage memory 130A as a contour point (hereinafter referred to as a distance crack portion contour point) that is determined to be a crack portion based on the distance. That is, all the coordinates of contour points at which the distance RG _m from the center of gravity is equal to or smaller than the distance threshold value RL are stored in the distance cracking portion contour point storage memory 130A.

The change amount comparison unit 120A is connected to the change amount storage memory 112, the change amount threshold value memory 116, and the change amount crack portion contour point storage memory 132A. And the change amount DR _m is compared with the change amount threshold value DL (DR _m : DL) for each grain of white rice 56 stored in the change amount storage memory 112, and the change amount DR _m is changed to the change amount threshold value. The coordinates of the contour point m that is equal to or greater than DL (DR _m ≧ DL) are stored in the variation crack portion contour point storage memory 132A as a contour point (hereinafter referred to as a variation crack portion contour point) that is determined as a crack portion by the variation amount. Let That is, all the coordinates of contour points at which the change amount DR _m is greater than or equal to the change amount threshold DL are stored in the change amount crack portion contour point storage memory 132A.

  In the split grain discriminating unit 122A, the distance cracking part contour point memory 130A stores the distance cracking part contour point and the variation cracking part contour point storage memory 132A together with the variation cracking part contour point memory 132A. Check whether or not If both are stored, the variation crack contour point is within the range of ± 5 ° (swing width 10 °) centered on the axis of any distance crack contour point and the center of gravity (0 °). Determine if it exists. If present, the white rice 56 is determined as a soaked broken grain (defective product). In other cases, the white rice 56 is determined as a good product having no soaking crack.

  Next, the operation of the second embodiment will be described.

  The photometric procedure of the second embodiment is the same as the exposure procedure shown in the first embodiment.

  FIG. 13 and FIG. 14 show flowcharts relating to image processing, comparison procedure (FIG. 13), and immersion split particle discrimination processing (FIG. 14) according to the second embodiment. The parts with the same reference numerals are the same as those in FIG. 5 (image processing and comparison procedure) and FIG. 6 (immersion splitting particle discrimination process) in the first embodiment. In the description of the operation of the second embodiment, the description of the same parts as in the first embodiment will be omitted, and only different parts will be described.

In step 178A, the distance RG _m (m = 1 to M) with respect to the centroid 58 of all the contour points of the nth grain calculated in step 164 and step 168 is stored in the distance storage memory 110 and n calculated in steps 170 and 176. The change amount DR _m (m = 1 to M) of all the contour points of the grain is stored in the change amount storage memory 112. Further, the coordinates of the contour point m (m = 1 to M) are stored in the distance storage memory 110 and the change amount storage memory 112.

  In Step 184A, a soaking split particle discrimination process is executed, and the routine proceeds to Step 200 shown in FIG.

In step 230A, the distance crack portion contour point is stored as the contour point (distance crack portion contour point) that is determined to be a crack portion by the distance using the coordinates of the contour point m determined as RG _m ≤ RL in step 210 (FG1 = 1). Store in memory 130A. This is because, in the enlarged cracked portion of the white rice 56 shown in FIG. 15, the contour point of m = 5 has a distance RG _{5 from the} center of gravity of the distance threshold RL or less, so the coordinates are the distance cracked portion contour point storage memory. Stored in 130A.

In step 232A, the change amount cracking portion is defined as a contour point (change amount cracking portion contour point) that is determined to be a cracking portion based on the amount of change using the coordinates of the contour point m determined in step 214 as DR _m ≧ DL (FG2 = 1). Store in the contour point storage memory 132A. In FIG. 15, the contour points of m = ₃ , ₄ , and ₁₀ have the change amounts DR ₃ , DR ₄ , and DR ₁₀ equal to or greater than the change amount threshold DL (FG2 = 1). It is stored in the crack outline point memory 132A.

  In step 234A, since both flag FG1 and flag FG2 are determined to be 1 in step 222, the distance crack portion contour point is stored in the distance crack portion contour point storage memory 130A, and the amount of change is stored in the variation crack portion contour point storage memory 132A. It can be determined that the crack outline points are stored together. Therefore, in step 234A, any change amount cracking is within a range of ± 5 ° with reference to the axis (0 °) between each distance cracking portion contour point and the center of gravity stored in the distance cracking portion contour point storage memory 130A. It is determined whether or not a part outline point exists. If it exists, the determination in step 234A is affirmative, and the n-th particle is determined as a soaked broken particle (defective product), and the process proceeds to step 224. If it does not exist, a negative determination is made in step 234A, the n-th grain is determined to be a non-defective product, and the process proceeds to step 226.

  In the case shown in FIG. 15, it is determined whether the coordinates of the contour points of m = 3, 4, 10 are within ± 5 ° with reference to the axis (0 °) between the contour point of m = 5 and the center of gravity. Since the contour point of m = 4 is within ± 5 °, step 234A is determined to be affirmative, and the n-th particle is determined to be a soaking split particle (defective product), and the process proceeds to step 224. In step 224, the NG value is incremented and the routine proceeds to step 226.

  As described above, in the second embodiment, the contour determined to be a crack by the variation threshold DL based on the axis of the contour point and the center of gravity determined to be a crack by the distance threshold RL. By determining whether the point is within a predetermined angle with the axis as the center, it is possible to determine whether the crack has a shape that satisfies the overlapping conditions (distance from the center of gravity and the amount of change). The discrimination accuracy of the inspection object state discrimination device is improved.

  In the second embodiment, the predetermined angle is ± 5 ° (swing width 10 °) about the axis. However, the predetermined angle is adjusted according to the granular object to be inspected and the shape of the crack to be identified. May be. In order to discriminate a cracked portion by immersion, it is preferable that the swing width centered on the axis is 5 ° to 10 °.

  Here, FIG. 9 shows the result of discriminating the granular inspection object according to the first embodiment, the second embodiment, and the discrimination conditions 1, 2, and 3. As shown in the determination result of FIG. 9, the number of white rice discriminated as soaking split grains from the granular test object by changing the conditions is as follows: Discrimination condition 3> Determination condition 1> First embodiment> Second Embodiment, Discrimination Condition 3> Determination Condition 2> First Embodiment> Second Embodiment The condition that the cracked portion that is discriminated as soaking cracks satisfies is more strict.

  Further, since the granular inspection object (white rice 56) discriminated in the first embodiment and the second embodiment is not circular as shown in FIG. 10, but is close to an ellipse, coordinate data is based on image data. The creation unit 104 obtains the short axis and long axis of the white rice 56, creates coordinate data for the contour point 62 within 45 degrees with reference to the short axis, and obtains the distance from the center of gravity 58 and the amount of change based on the created coordinate data. Thus, the comparison process may be performed. Since most of the cracks occur in the back and abdomen of the white rice 56, it is possible to prevent erroneous discrimination by parts other than the back and abdomen by performing comparison processing on the contour point 62 within 45 degrees with respect to the short axis. .

  In the first embodiment and the second embodiment, the distances from the centroid 58 are calculated at all the contour points 62 of the image data, such as the contour points 62 shown in the range A of FIG. As shown in the range B, the distance to the center of gravity 58 may be obtained at the contour points 62 at every predetermined interval (every five contour points in the range B in FIG. 11) and compared with the distance threshold value. By appropriately setting the predetermined interval, the number of contour points for calculating the distance is reduced, and the calculation processing becomes quick.

Further, as shown in a range C in FIG. 11, the coordinates of the contour point 62 are averaged at predetermined intervals to obtain an average coordinate P, and the distance between the average coordinate P and the center of gravity 58 is obtained and compared with a distance threshold value. May be. In the range C of FIG. 11, when the contour point 62 is (X ₁ , Y ₁ ) (X ₂ , Y ₂ ) (X ₃ , Y ₃ ), the coordinates of the average contour point are obtained from the following equation (1). P = ((X ₁ + X ₂ + X ₃ ) / 3, (Y ₁ + Y ₂ + Y ₃ ) / 3) (1)
It becomes.

  In the first embodiment and the second embodiment, the white rice 56 is applied as the granular inspection object, but other grains such as brown rice may be used.

It is a perspective view which shows the external appearance of the discrimination | determination apparatus for discriminating the presence or absence of the crack part of the white rice which concerns on 1st Embodiment. It is the schematic which shows the internal structure of the discrimination | determination apparatus based on 1st Embodiment. (A) The perspective view of a tray which concerns on 1st Embodiment, (B) is the IIIB-IIIB sectional view taken on the line of FIG. 3 (A). It is the block diagram which showed functionally the control of the controller for discrimination | determination of the immersion split grain which concerns on 1st Embodiment. It is a flowchart which shows the image processing and comparison procedure which concern on 1st Embodiment. It is a flowchart which shows the immersion broken grain discrimination | determination process which concerns on 1st Embodiment. It is a figure which shows the relationship of the distance of the outline point of a granular to-be-inspected object without a crack part which concerns on 1st Embodiment, an outline point, and a gravity center, and a variation | change_quantity. It is a figure which shows the relationship between the outline point of the granular to-be-inspected object which has a crack part which concerns on 1st Embodiment, the distance of an outline point, and a gravity center, and a variation | change_quantity. It is explanatory drawing which shows the result of having discriminate | determined the granular to-be-inspected object by 1st Embodiment, 2nd Embodiment, and discrimination conditions 1, 2, and 3. FIG. It is a figure which shows the contour point within 45 degree | times on the basis of a short axis in the granular to-be-inspected object which has a crack part. It is a figure which shows the substantially 1/4 part of the outline point of the granular to-be-inspected object on the image data which calculates the distance with a gravity center. It is the block diagram which showed functionally the control of the controller for discrimination | determination of the immersion split grain which concerns on 2nd Embodiment. It is a flowchart which shows the image processing and comparison procedure which concern on 2nd Embodiment. It is a flowchart which shows the immersion broken grain discrimination | determination process which concerns on 2nd Embodiment. It is the enlarged view to which the crack part of the granular to-be-inspected object which concerns on 2nd Embodiment was expanded.

Explanation of symbols

10 Discriminating device (discriminating device)
DESCRIPTION OF SYMBOLS 12, 14 Box 16 Case 18 Controller 18A LCD monitor 20 Printer 22 Discrimination device main body 24 Scanner part 30 Transparent glass plate 32 Line scanning type imaging unit 34 Head part (photometric device)
36 Scanner motor 50 Bottom plate part 52 Vertical wall part 54 Grasping part 56 White rice 57 Cracking part 58 Center of gravity 60 Contour 62 Contour point 66 Water 72 Tray 100 Image data generating unit (image data converting means)
102 image data memory 104 coordinate data creation unit (coordinate data creation means)
106 Distance calculation unit (distance calculation means)
108 Change amount calculation unit (change amount calculation means)
110 Distance storage memory 112 Change amount storage memory 114 Distance threshold memory 116 Change amount threshold memory 118 Distance comparison unit (distance comparison means)
120 Change amount comparison unit (change amount comparison means)
122 Splitting Particle Discriminating Unit 124 Splitting Particle Ratio Calculation Unit 130A Distance Value Cracking Section Contour Point Storage Memory 132A Variation Cracking Section Contour Point Storage Memory

Claims (7)

A granular inspection object state determination device for determining the finished state of a granular inspection object,
A tray structure that can store a predetermined amount of water, and a tray that holds the granular test object in a state of being immersed in the stored water;
A photometric device that performs scanning reading while irradiating the granular inspection object on the tray to obtain photometric data;
Image data converting means for converting the photometric data by the photometric device into image data of the granular object;
Based on the image data, coordinate data creating means for creating coordinate data of each point of the contour of the granular object and the position of the center of gravity;
Based on the coordinate data , distance calculating means for calculating a distance from the center of gravity of each contour point;
Distance comparison means for comparing the distance calculated by the distance calculation means with a predetermined distance threshold;
A change amount calculating means for calculating a change amount in which the distance calculated by the distance calculating means changes at the contour points adjacent to each other;
Change amount comparison means for comparing the change amount calculated by the change amount calculation means with a predetermined change amount threshold value;
The contour point determined to be split by immersion according to the comparison result of the variation comparison means, with the axis connecting the contour point and the center of gravity determined to be split by immersion according to the comparison result of the distance comparison means. The granular inspection object state discriminating apparatus is characterized in that the granular inspection object is determined to be a split particle by immersion when the angle is within a predetermined angle centered on the axis . A granular inspection object state determination device for determining a finished state of an inspection object having a granular shape and having at least a long axis region and a short axis region ,
A tray structure that can store a predetermined amount of water, and a tray that holds the granular test object in a state of being immersed in the stored water;
A photometric device that performs scanning reading while irradiating the granular inspection object on the tray to obtain photometric data;
Image data converting means for converting the photometric data by the photometric device into image data of the granular object;
Based on the image data, defining a short axis region of the heavy heart position and the granular object to be inspected of the particulate inspection object, the coordinate data about each point of the contour of the minor axis within a predetermined angle relative to the and coordinate data creation means for creating,
Based on the coordinate data , distance calculating means for calculating a distance from the center of gravity of each contour point;
A change amount calculating means for calculating a change amount in which the distance calculated by the distance calculating means changes at the contour points adjacent to each other;
Change amount comparison means for comparing the change amount calculated by the change amount calculation means with a predetermined change amount threshold value;
A granular inspection object state discriminating apparatus for determining a split particle by immersion of the granular inspection object based on a comparison result of the change amount comparing means. A granular inspection object state determination device for determining a finished state of an inspection object having a granular shape and having at least a long axis region and a short axis region ,
A tray structure that can store a predetermined amount of water, and a tray that holds the granular test object in a state of being immersed in the stored water;
A photometric device that performs scanning reading while irradiating the granular inspection object on the tray to obtain photometric data;
Image data converting means for converting the photometric data by the photometric device into image data of the granular object;
Based on the image data, defining a short axis region of the heavy heart position and the granular object to be inspected of the particulate inspection object, the coordinate data about each point of the contour of the minor axis within a prescribed angle relative to the and coordinate data creation means for creating,
Based on the coordinate data , distance calculating means for calculating a distance from the center of gravity of each contour point;
Distance comparison means for comparing the distance calculated by the distance calculation means with a predetermined distance threshold;
A granular inspection object state determination device that determines the splitting due to the immersion of the granular inspection object based on the comparison result of the distance comparison means. A granular inspection object state determination device for determining a finished state of an inspection object having a granular shape and having at least a long axis region and a short axis region ,
A tray structure that can store a predetermined amount of water, and a tray that holds the granular test object in a state of being immersed in the stored water;
A photometric device that performs scanning reading while irradiating the granular inspection object on the tray to obtain photometric data;
Image data converting means for converting the photometric data by the photometric device into image data of the granular object;
Based on the image data, defining a short axis region of the heavy heart position and the granular object to be inspected of the particulate inspection object, the coordinate data about each point of the contour of the minor axis within a predetermined angle relative to the and coordinate data creation means for creating,
Based on the coordinate data , distance calculating means for calculating a distance from the center of gravity of each contour point;
Distance comparison means for comparing the distance calculated by the distance calculation means with a predetermined distance threshold;
A change amount calculating means for calculating a change amount in which the distance calculated by the distance calculating means changes at the contour points adjacent to each other;
Change amount comparison means for comparing the change amount calculated by the change amount calculation means with a predetermined change amount threshold value;
When the contour point for which splitting is determined by the comparison result of the distance comparison unit and the contour point for which splitting is determined by the comparison result of the change amount comparison unit are the same point or a nearby contour point, A granular inspection object state discriminating apparatus characterized by discriminating split grains by immersion of a granular inspection object. The distance calculating means calculates a distance from the center of gravity at the contour point for each interval obtained by multiplying a minimum distance from the adjacent contour point based on image data by a plurality of times on the contour. The granular inspection object state discrimination device according to any one of claims 1 to 4 . The distance calculation means averages the coordinates of each contour point in the interval for each interval obtained by multiplying the minimum distance from the adjacent contour points based on image data by a plurality of times on the contour, and the average coordinate The granular inspection object state discriminating apparatus according to any one of claims 1 to 4 , wherein a distance from the center of gravity is calculated. The granular inspection object state discriminating apparatus according to any one of claims 1 to 6 , wherein the discrimination of the split grains by the immersion determines the generation ratio of the split grains.
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Images