JP3957662B2 - Granular inspection object state discrimination device - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a granular inspection object state determination device for determining the finished state of a granular inspection object.
[0002]
[Prior art]
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.
[0003]
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.
[0004]
The white rice (broken rice) that has cracked parts is caused by the growth environment of the rice or the method of milling. The current situation is that they are sharpened, but nevertheless there is no possibility of mixing of broken grains, and inspection after purchase or after milling is essential.
[0005]
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.
[0006]
The rejected lot needs to be handled separately from the accepted product, or the milled rice must be readjusted.
[0007]
For reference, Patent Document 1 has been proposed as a technique for automatically determining the quality of a grain state.
[0008]
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.
[0009]
[Patent Document 1]
Japanese Patent No. 3058940
[0010]
[Problems to be solved by the invention]
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.
[0011]
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.
[0012]
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.
[0013]
[Means for Solving the Problems]
  The invention according to claim 1 is a granular inspection object state determination device for determining a finished state of a granular inspection object, wherein the granular inspection object has a receiving tray structure capable of storing a predetermined amount of water. A photometer that obtains photometric data by performing scanning reading while irradiating light to the granular object to be inspected on the tray.The actual image data storage means for storing the actual image data of the granular inspection object obtained based on the photometric data obtained by the photometric device, and the actual image data are expanded to generate around the granular inspection object. Pseudo image data generating means for generating pseudo image data by eliminating cracks and reducing the expansion of the actual image data after the exclusion, and the number P of pixels occupied as granular inspection objects in the pseudo image data _G From the above, the number P of pixels occupied as the granular inspection object in the actual image data _R And the number of pixels subtracted from the first immersion split particle discrimination reference value P _H And (P _G -P _R : P _H 1) the first comparison means, and based on the comparison result of the first comparison means,Dipping / breaking particle discriminating means for discriminating breaking particles by dipping.
[0014]
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.
[0015]
In the photometric device, the granular inspection object on the tray is irradiated with light to perform scanning reading to obtain photometric data. The scanning reading is preferably performed after the granular object to be inspected is immersed in water and left for a predetermined time (about 20 minutes).
[0016]
The immersion split particle discriminating means discriminates the split particles due to the immersion based on the read photometric data.
[0017]
  More specifically, the real image data storage means as the immersion split particle discrimination means stores the real image data of the granular inspection object obtained based on the photometric data.
[0018]
  Next, the contour of the granular inspection object is expanded using the actual image data. By this expansion, the unevenness generated in the surroundings is alleviated, and there are no cracks that are part of the unevenness, and finally an image of the granular inspection object without the cracks is obtained. Thereafter, the image obtained by the expansion is reduced by the expansion, so that an appropriate image (pseudo image data) having no cracks can be obtained.
[0019]
  In the first comparison means, the pseudo image data generated in this way is compared with the actual image data. Specifically, the first comparison means is configured to determine the number of pixels P occupied as the granular inspection object in the pseudo image data. _G From the above, the number P of pixels occupied as the granular inspection object in the actual image data _R And the number of pixels subtracted from the first immersion split particle discrimination reference value P _H Are compared (see equation (1)).
[0020]
                    P _G -P _R : P _H ... (1)
  In this equation (1), for example, P _G -P _R > P _H In this case, it is determined that it is a soaking split grain. In addition, the 1st immersion split particle discrimination reference value P _H Depending on the setting of P _G -P _R ≧ P _H In some cases.
[0021]
  As a result of this comparison, the immersion split particles are discriminated from the granular test object. That is, since the pseudo image data is generated based on the granular inspection object for each grain, the discrimination accuracy can be improved as compared with the difference from the certain non-defective image data with the discrimination standard..
[0022]
  As described above, by allowing scanning reading of the granular inspection object that is immersed and containing water, it is possible to quickly and surely determine the split particles of the granular inspection object that are generated by the immersion, so that work efficiency is improved. Can be improved.
[0023]
  The invention according to claim 2 is a granular inspection object state determination device for determining a finished state of a granular inspection object, wherein the granular inspection object has a receiving tray structure capable of storing a predetermined amount of water. A photometer for obtaining photometric data by performing scanning reading while irradiating light to the granular object to be inspected on the tray, and the photometric device Real image data storage means for storing the actual image data of the granular inspection object obtained on the basis of the photometric data obtained by the above, and a peripheral length calculation means for calculating the peripheral length L of the granular inspection object based on the actual image data , An area calculating means for calculating the area S of the granular inspection object based on the actual image data, and the square of the circumference L of the granular inspection object in the actual image data (L ² The ratio of the area S to the second immersion cracked grain discrimination reference value M is compared ((L ² / S): M) second comparing means, and immersion split particle discriminating means for discriminating immersion split grains from the granular test object based on the comparison result of the second comparing means. It is characterized by.
[0024]
  According to the second 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.
[0025]
  In the photometric device, the granular inspection object on the tray is irradiated with light to perform scanning reading to obtain photometric data. The scanning reading is preferably performed after the granular object to be inspected is immersed in water and left for a predetermined time (about 20 minutes).
[0026]
  The immersion split particle discriminating means discriminates the split particles due to the immersion based on the read photometric data. More specifically, the real image data storage means as the immersion split particle discrimination means stores the real image data of the granular inspection object obtained based on the photometric data.
[0027]
  Next, based on the actual image data, the peripheral length L of the granular inspection object is calculated and the area S is calculated.
[0028]
  The second comparison means compares the circumference L calculated in this way with the area S. Specifically, the second comparison means is configured to calculate the square of the peripheral length L (L ² ) And the ratio of the area S to the second immersion splitting particle discrimination reference value M (see formula (2)).
[0029]
                  (L ² / S): M (2)
  In this formula (2), for example, (L ² If / S) ≧ M, it is determined that the particle size is soaked. In addition, depending on the setting of the second immersion split particle discrimination reference value M, (L ² / S)> M.
[0030]
  In the above equation (2), assuming that the granular object to be inspected is circular, when the area is obtained from the peripheral length L, it is exactly π (L / 2π) ² = L ² / 4π. If this is the same as the area S obtained from the number of pixels, there will be no cracks.
[0031]
  Here, in order to simplify the calculation, the granular object to be inspected is not circular but close to an ellipse. ² By setting the second immersion split particle discrimination reference value M in consideration of 1 / 4π of / 4π, L ² And S (Equation (2)). As a result of this comparison, the immersion split particles are discriminated from the granular test object.
[0032]
  That is, since the difference between different analysis results for the same purpose is compared with a discrimination criterion from each grain inspection object, it is possible to improve discrimination accuracy as compared with comparison with a certain discrimination criterion.
[0033]
  As described above, by allowing scanning reading of the granular inspection object that is immersed and containing water, it is possible to quickly and surely determine the split particles of the granular inspection object that are generated by the immersion, so that work efficiency is improved. Can be improved.
[0034]
  According to a third aspect of the present invention, in the first or second aspect of the invention, the photometric device is provided with a flat bed-like transparent plate and a lower portion of the transparent plate, and a light source and a photoelectric conversion device are provided. And a scanning unit including an element, wherein at least a bottom surface of the tray placed on the transparent plate is transparent.
[0035]
  According to invention of Claim 3, the bottom face of a tray is made transparent and it mounts on a transparent board. A scanning unit is provided below the transparent plate. By driving this scanning unit, the light source passes through the transparent plate and the tray, and is irradiated onto the granular inspection object, and the reflected light is scanned and read. According to this, the tray which stored water and the scanning unit can be completely separated, and the safety of the apparatus can be ensured.
[0036]
  Claim4The invention described in claim 1 to claim 13In the invention according to any one of the above, the determination of the split particles by the immersion determines the generation ratio of the split particles.
[0037]
  Claim4According to the invention described in the above, it is possible to easily determine the quality in the determination result by obtaining the generation ratio after the determination of the broken grains.
[0038]
  Claim5The invention described in claim 1 to claim 14In the invention according to any one of the above, a plurality of granular objects to be inspected are placed on the tray in a random and non-overlapping manner, and the granular objects to be inspected are sufficiently immersed in water for photometry. It is characterized in that photometry is performed by the apparatus.
[0039]
  Claim5According to the invention described in (1), when the granular test objects are placed on the water stored in the tray, alignment is not particularly necessary, but it is preferable to arrange them so as not to overlap each other. Further, the photometry by the photometry device is preferably performed after the granular test object is immersed for a time sufficiently containing water, and it is necessary to immerse for about 20 minutes empirically and experimentally.
[0040]
For this reason, for example, a timer may be provided to start photometry after leaving the tray for about 20 minutes after instructing to start the inspection with the tray set. Can be omitted. Alternatively, a plurality of lots of granular objects to be inspected may be placed in a plurality of trays for each lot and immersed, and after about 20 minutes, set in a photometric device one after another for inspection.
[0041]
DETAILED DESCRIPTION OF THE INVENTION
FIG. 1 shows a determination device 10.
[0042]
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.
[0043]
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).
[0044]
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.
[0045]
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.
[0046]
FIG. 2 shows a schematic configuration of the discrimination device main body 22.
[0047]
The discriminating device main body 22 includes a scanner unit 24 serving as a base and a cover 46.
[0048]
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.
[0049]
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.
[0050]
In addition, a line scanning imaging unit 32 is disposed below the transparent glass plate 30.
[0051]
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).
[0052]
Thereby, almost the entire surface of the transparent glass plate 30 can be scanned by the imaging element array 34A.
[0053]
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.
[0054]
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.
[0055]
FIG. 3 shows the structure of the tray 72.
[0056]
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.
[0057]
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 58 is stored in a region having a tray structure. The water 58 is held by the vertical wall portion 52 without spilling, and a predetermined number (about 100 grains in this embodiment) of white rice 56 is placed in this state.
[0058]
In addition, when placing, white rice 56 is made not to overlap, but it is not necessary to align.
[0059]
The tray 72 in which the water 58 is stored and the white rice 56 is placed as described above is left on the transparent glass plate 30 after being left for about 20 minutes, and the cover 46 is closed to complete measurement preparation. To do.
[0060]
In addition, when the white rice 56 is immersed in the water 58, a defective product in which broken grains are generated may appear. In this 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.
[0061]
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 present embodiment.
[0062]
The head unit 34 is connected to the actual image data generation unit 100, and data (photometric data) captured by the head unit 34 is sent to the actual image data generation unit 100.
[0063]
The actual image data generation unit 100 detects the outline of the grain based on the image density, generates image data of each white rice 56, and stores it in the actual image data memory 102 together with its position data (coordinates).
[0064]
As a result, the actual image data memory 102 stores image data of about 100 grains of white rice 56 on the tray 72.
[0065]
The actual image data stored in the actual image data memory 102 is read one by one by the actual image data reading unit 104 and sent to the expansion / reduction processing unit 106.
[0066]
The expansion / reduction processing unit 106 executes processing so as to gradually expand the contour of the read image data. When the cracked portion 56A (see FIG. 5) exists in the white rice 56, when this expansion process is executed, the cracked portion 56A is gradually removed as shown in FIGS. 5 (A) to (C). Finally, it is possible to obtain a smooth (corresponding to a non-defective) grain image having no extreme unevenness.
[0067]
Next, the expansion / reduction processing unit 106 performs reduction processing on the image based on the degree of expansion (expansion rate). As a result, the image data is restored to approximately the same size as the contour of the original image data, but as shown in FIGS. 5D to 5F, image data (pseudo image data) without the crack 56A is obtained. Can do.
[0068]
The pseudo image data is stored in the pseudo image data memory 108 together with the same position data (coordinates) as the position data (coordinates) stored in the real image data memory 102.
[0069]
The real image data memory 102 and the pseudo image data memory 108 are connected to the comparison unit 110, and the comparison unit 110 reads the real image data and the pseudo image data of the same position data (coordinates), and the reference data A comparison is made with the first immersion split particle discrimination reference value stored in the memory 112.
[0070]
That is, in the present embodiment, the number of pixels of the pseudo image data is set to P_G, The number of pixels of the actual image data is P_RAnd P_GTo P_RAnd the first immersion splitting discrimination reference value P stored in the reference data memory 112._HAnd compare.
[0071]
The comparison result is sent to the broken grain discrimination unit 114, and the presence or absence of the broken grain is discriminated.
[0072]
That is, in the split particle discriminating unit 114, the comparison result in the comparing unit 110 is P_G-P_R> P_HIf it is determined, the grain is determined to be a soaked split grain (defective product) and P_G-P_R≦ P_HIs determined to be a good product without immersion cracking.
[0073]
The discrimination results in the split grain discriminating unit 114 are totaled by the split grain ratio calculating unit 116, and the ratio of the white rice 56 determined to be the split grain (defective product) of 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.
[0074]
If this ratio is greater than a predetermined reference value, the lot of white rice is determined to be rejected.
[0075]
The operation of this embodiment will be described below.
[0076]
(Metering procedure)
Water is stored in the tray 72, and white rice 56 as a sample is immersed in the stored water 58. The soaked white rice 56 is preferably moved so as not to overlap each other, but does not need to be particularly aligned.
[0077]
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 is opened, the tray 72 is positioned on the transparent glass plate 30, and the cover 46 is closed.
[0078]
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.
[0079]
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.
[0080]
When the imaging is completed, the head unit 34 returns to the initial position (home position) for standby of the next photometry.
[0081]
The controller 18 processes the fetched data, controls display on the LCD monitor 18A, and controls printing on the printer 20 when a print instruction is issued.
[0082]
Hereinafter, according to the flowchart of FIG. 6, image processing and comparison procedure for obtaining the soaked grains of white rice 56 and the generation ratio thereof including imaging of the white rice 56 will be described.
[0083]
In step 150, variable n (count value) is set to 1 as an initial setting, variable NG (number of defective products) is cleared (0), and the process proceeds to step 152.
[0084]
In step 152, photometric (imaging) processing by the head unit 34 described above is executed, and the process proceeds to step 154.
[0085]
In step 154, the measured number N of white rice 56 is recognized, and then in step 156, image data of each white rice 56 is generated.
[0086]
In the next step 158, the position data of each white rice 56 on the tray 72 is stored in the actual image data memory 102.
[0087]
In the next step 160, the actual image data of the nth grain (n = 1 at the first time) is read, and then in step 162, expansion processing of the actual image data is executed. If the cracking portion 56A is present by this expansion process, the cracking portion 56A is eliminated.
[0088]
In the next step 164, reduction processing is performed based on the degree of expansion when the expansion processing is performed, the size is returned to approximately the same size as the actual image, and the process proceeds to step 166.
[0089]
In step 166, the pseudo image data in which the cracking portion 56 </ b> A is removed by performing the expansion process and the reduction process is stored in the pseudo image data memory 108 together with the position data.
[0090]
In the next step 168, it is determined whether or not the actual 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 170 and n is incremented. Returning to 160, the above steps are performed one by one.
[0091]
Further, when an affirmative determination is made at step 168, that is, when it is determined that all the processes have been completed, the routine proceeds to step 172. The process after step 172 is a process for discriminating the split grains and the ratio.
[0092]
In step 172, the variable n is returned to the initial value (1), and then the process proceeds to step 174, where the real image data and pseudo image data of the nth grain are read, and the process proceeds to step 176.
[0093]
In step 176, the pixel number P of white rice 56 based on the actual image data._R, And the number of pixels P of white rice 56 based on pseudo image data_GThen, in step 178, the first dipping split particle discrimination reference value P from the reference data memory 112 is calculated._H, The process proceeds to step 180 and the number of pixels P of white rice 56 based on the pseudo image data P_GAnd the number of pixels P of white rice 56 based on actual image data_RThe difference between_HCompare with (P_G-P_R: P_H).
[0094]
As a result of the comparison in step 180, P_G-P_R> P_HIf it is determined, the grain is determined to be a soaking split grain (defective product), the process proceeds to step 182, the NG value is incremented, and the process proceeds to step 184.
[0095]
In step 180, P_G-P_R≦ P_HIf it is determined that the white rice 56 is good, the process proceeds to step 184.
[0096]
In step 184, it is determined whether or not the variable n has reached the total number (N) of white rice 56. If a negative determination is made, the process proceeds to step 186, n is incremented, and the process returns to step 174. Run one by one.
[0097]
On the other hand, if it is determined in step 184 that an affirmative determination is made, that is, the determination of the total number is completed, the process proceeds to step 188.
[0098]
In step 188, the ratio of the NG value (the ratio of defects) to the total number N of white rice 56 is calculated to obtain a percentage A (%).
[0099]
The calculated defect ratio A% is displayed on the LCD monitor 18A in step 190. The operator can accurately grasp the generation ratio of the cracked portion 56 </ b> A of the white rice 56 by viewing this numerical value. Note that the printer 20 may print out the defect ratio A%.
[0100]
As described above, in the present embodiment, the water 58 is stored in the tray 72, the white rice 56 is immersed, and the white rice 56 is imaged (photometric) by the head unit 34 in a state where it is left for a predetermined time (about 20 minutes). In addition, based on the photometric data, actual image data and expanded / reduced pseudo image data are obtained, and the presence / absence of immersion splitting is discriminated from the difference in the number of both pixels. It is possible to determine the mixing ratio of the soaked broken grains extremely quickly and accurately than the determination, and to determine the pass / fail of the white rice lot.
[0101]
In the present embodiment, the comparison by the comparison unit 110 is performed using the number of pixels P of the pseudo image data._GAnd the number of pixels P of the actual image data_RThe difference between the first immersion split particle discrimination reference value P stored in the reference data memory 112_HHowever, the comparison by the comparison unit 110 may be performed based on the peripheral length L of the white rice 56 obtained from the actual image data and the area S of the white rice 56.
[0102]
That is, as the feature amount, the square of the perimeter L (L²The ratio of area S to
Compared with the second soaking split particle discrimination reference value M ((L²/ S): M). The second immersion split particle discrimination reference value M is the first immersion split grain discrimination reference value P._HInstead, the reference data memory 112 may store them.
[0103]
This comparison is referred to as a feature amount determination method compared to the pixel contrast method, and can be determined only by actual image data.
[0104]
Where (L²/ S) If it is determined that M is greater than or equal to M, it is determined that it is a soaked broken grain (defective product) and (L²/ S) If it is determined that <M, it is determined that the product is non-defective, and the defective product ratio A% is displayed (and printed out).
[0105]
Note that either one of the pixel comparison method and the feature amount determination method may be selected, or determination by both of them may be possible. If there is an error in the results of both determinations, the average value may be taken.
[0106]
Moreover, in this Embodiment, although the white rice 56 was applied as a granular to-be-tested object, other grains, such as brown rice, may be sufficient.
[0107]
【The invention's effect】
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.
[Brief description of the drawings]
FIG. 1 is a perspective view showing an overview of a discriminating apparatus for discriminating the presence or absence of cracked portions of white rice according to the present embodiment.
FIG. 2 is a schematic diagram showing an internal configuration of a discrimination device according to the present embodiment.
3A is a perspective view of a tray, and FIG. 3B is a cross-sectional view taken along line IIIB-IIIB in FIG.
FIG. 4 is a block diagram functionally showing the control of the controller for discriminating soaking broken grains according to the present embodiment.
FIG. 5 is an image diagram showing a flow of expansion / reduction processing in image data obtained by imaging white rice.
FIG. 6 is a flowchart showing a soaking split particle discrimination control routine.
[Explanation of symbols]
10 Discriminating device (discriminating device)
12, 14 box
16 housing
18 Controller
18A LCD monitor
20 Printer
22 Discrimination device body
24 Scanner section
30 Transparent glass plate
32 line scanning imaging unit
34 Head
36 Scanner motor
50 Bottom plate
52 Vertical wall
54 Gripping part
56 White rice
58 water
72 trays
100 Real image data generator
102 Real image data memory
104 Real image data reading unit
106 Expansion / reduction processing unit
56A crack
108 Pseudo image data memory
110 Comparison part
112 Reference data memory
114 Split grain identification part
116 Split grain ratio calculator

Claims (5)

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;
The actual image data storage means for storing the actual image data of the granular inspection object obtained based on the photometric data obtained by the photometric device, and the actual image data are expanded to generate around the granular inspection object. cracking unit eliminates a false image data generating means for generating a pseudo image data by reducing the expansion amount of the actual image data after such exclusion, the number of pixels P _G occupied as granular object to be inspected in the pseudo image data , and the number of pixels obtained by subtracting the number of pixels P _R occupied as granular object to be inspected in the actual image data, compares the first immersion split particle discrimination reference value P _H, a _{(P G -P R: P H} ) to Constituted by a first comparison means, based on the comparison result of the first comparison means, immersion splitting particle discrimination means for discriminating the splitting by immersion from the granular inspection object ,
A granular inspection object state discriminating apparatus. 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;
Actual image data storage means for storing the actual image data of the granular inspection object obtained based on the photometric data by the photometric device, and the peripheral length for calculating the peripheral length L of the granular inspection object based on the actual image data A calculation means; an area calculation means for calculating an area S of the granular inspection object based on the actual image data; and an area S with respect to a square (L ² ) of the peripheral length L of the granular inspection object in the actual image data. Based on the comparison result of the second comparison means for comparing the ratio and the second immersion split particle discrimination reference value M ((L ² / S): M) and the comparison result of the second comparison means, Immersion splitting particle discriminating means for discriminating immersion splitting particles from the inspection object ,
A granular inspection object state discriminating apparatus.   The photometric device is composed of a flat bed-like transparent plate and a scanning unit provided below the transparent plate and provided with a light source and a photoelectric conversion element, and is placed on the transparent plate. The granular inspection object state discriminating apparatus according to claim 1, wherein at least the bottom surface of the inspection object is transparent.   The granular inspection object state discriminating apparatus according to any one of claims 1 to 3, wherein the discrimination of the split grains by the immersion determines the generation ratio of the split grains.   A plurality of granular inspection objects are placed on the tray in a random and non-overlapping manner, and after the granular inspection objects have been immersed for a time sufficiently containing water, photometry is performed by a photometric device. The granular inspection object state discriminating apparatus according to any one of claims 1 to 4.

Images