JP2000039402A - Grain-type-judging device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To accurately judge a grain type by using the ratio of an R constituent value to a B constituent value where the difference becomes the largest when discriminating glutinous rice, unpolished rice, and unhulled rice among the combination of the ratio of R, G and B constituent values that are three primary color information. SOLUTION: When the judgment of a grain type is started, the three primary color constituent values of grain particles are measured by a color sensor 2, and then the ratio of an R constituent value to a B constituent value of the three primary colors is calculated. Then, the measurement ratio is compared with the discrimination reference ratio of glutinous rice, unpolished rice, and unhulled rice for judging whether the grain is the unpolished rice or not (3). Then, when the measurement ratio matches the unpolished rice reference ratio, it is judged that the grain is the unpolished rice (3). Otherwise, the measurement ratio is compared with the unhulled rice reference ratio for judging whether the grain is the unhulled rice or not. When it matches the unhulled reference ratio, it is judged that the grain is the unhulled rice (3). Otherwise, it is judged that the grain is glutinous rice (3).

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a grain type judging apparatus which can be used in a rice milling machine or the like.

[0002]

2. Description of the Related Art There is an invention disclosed in Japanese Patent Application Laid-Open No. 1-307484. According to the present invention, three primary color information (R, G, B) and luminance information as color information are output from a distributed sensor in a two-dimensional direction by an imaging unit of a color sensor, and the imaging information is output by an image processing unit. This is a configuration for measuring a distribution state based on color information.

[0003]

According to the present invention, the ratio of the R component value and the B component value in the combination of the ratios of the R, G, and B component values, which are the three primary color information as the color information, is obtained.
It is based on the finding that the difference is the largest when comparing brown rice and paddy, and is intended to determine the grain type with high accuracy for these grains.

[0004]

The technical means of the present invention for solving such a technical problem is to analyze reflected light or transmitted light of a grain into R, G, B component values of three primary colors, and to analyze the reflected light or transmitted light. A color sensor 2 capable of measuring the amount of light, and a color sensor 2
And a grain type determining means for determining the grain type by comparing the measured ratio of the R component value and the B component value of the three primary colors and the reference value.

[0005]

When the grain type determination is started, the three primary color component values of the grain are measured by the color sensor 2, and then the ratio of the R component value and the B component value of the three primary colors is calculated. Next, compare this measurement ratio with the discrimination reference ratio of paddy, brown rice, and rice, for example, determine whether the rice is brown rice, if the measurement ratio matches the brown rice standard ratio, determine brown rice, if not brown rice To compare the measured ratio with the paddy standard ratio,
It is determined whether or not it is paddy, and if it matches the paddy standard ratio, it is determined to be paddy, and if it does not match the paddy standard ratio, it is determined to have rice.

[0006]

As described above, according to the present invention, among the combinations of the ratios of the R, G, and B component values, which are the three primary color information, the difference between R, G, and B, which is the largest when discriminating between rice, brown rice, and paddy. Since the determination is made using the ratio between the component value and the B component value,
It is possible to judge the grain type with high accuracy, and since the sensors used are consumer parts, the cost is low,
When applied to a grain processing device, it is possible to automate the user's grain selection work, and it is possible to improve operability.

[0007]

DESCRIPTION OF THE PREFERRED EMBODIMENTS The embodiment shown in FIGS. 1 to 3 will be described. This embodiment has a color sensor that can analyze the reflected light (or transmitted light) of a grain into R, G, and B components of the three primary colors and measure the amount of light. The present invention relates to a grain type determination device for determining brown rice, paddy, and the like.

In this embodiment, three primary colors R, G, and G of light are used.
Among the combinations of the ratios of the B components, the ratio between the R component and the B component is based on the knowledge that the difference between brown rice and paddy is the largest, and the grain type with high accuracy is determined. Since the sensor used is also a consumer part, it can be implemented at low cost, and when applied to a grain processing device, it is possible to automatically determine the selection of the grain type by the user, improving operability. It can be done.

Referring to FIG. The input hopper 1 of the hulling rice mill is provided with a color sensor 2, and is configured to input measurement information from the color sensor 2 to the determination unit 3. The grains fed into the loading hopper 1 are taken into the machine by the transfer spiral 4 at the bottom, sent to a huller (not shown) via an elevator (not shown), and further sent to a rice mill (not shown). The rice is then ground and milled.

When the "mochi" is measured by the color sensor 2,
Voltage values of 124 were measured for the R component of the three primary colors, 116 for the G component, and 96 for the B component. Similarly, in the “paddy” measurement, voltage values of 78 for the R component, 59 for the G component, and 36 for the B component were measured. Is measured, and in the “brown rice” measurement, 8
1. A voltage value of 65 is measured for the G component and a voltage value of 44 is measured for the B component.

However, in the ratio of these RGB component values, the R component value / B component value (or B component value /
(R component value). In other words, it is 1.3 for rice cake, 2.2 for rice paddy, and 1.8 for brown rice,
Since a value larger than the ratio of the other components is obtained, the ratio of the R component value / the component value B is used to accurately determine the grain type of rice cake, paddy, and brown rice.

Next, the flow of FIG. 2 will be described.
When the grain type determination control starts, the color sensor 2 measures the R component value and the B component value of the three primary color components for the grains in the input hopper 1, and inputs the respective measured voltage values to the determination unit 3. . Next, the ratio of R component value / B component value (or B component value / R component value) is calculated.

Next, the measurement ratio and the rice, brown rice,
It is determined whether the rice is brown rice or not by comparing it with the reference value of the rice cake. If the measured value matches the brown rice reference value, it is determined that the rice is brown rice.
If it is not brown rice, the measured value is compared with the standard value of paddy to judge whether it is rice, and if it matches the standard value of rice, it is judged to be paddy. I do. If the rice is judged to be brown rice, a huller (not shown)
Then, the gap between the hulling rolls (not shown) is enlarged, and brown rice is passed through without being hulled, sent to a rice mill (not shown), and milled by a rice mill (not shown). If it is determined to be paddy, first, the paddy is sent to a paddy mill (not shown), padded with a paddy roll (not shown), and then sent to a rice mill (not shown) for rice polishing. In addition, in the case of rice cake, a destoning machine (not shown) provided in the rice milling machine is driven in advance, and a destoning shutter (not shown) is opened to discharge residual kernels from the previous operation. Then, the rice is milled in the same manner as the brown rice, and the rice is milled while preventing the mixing of brown rice (uruchi) into the glutinous rice.

Next, the embodiment shown in FIGS. 4 and 5 will be described. This embodiment has a color sensor 2 capable of decomposing reflected light (or transmitted light) of a grain into R, G, and B components of three primary colors and measuring the amount of light, and has an R component value, a G component value, and a B component. Based on the values, calculate the normalized numerical value and CIE numerical value, find the position on the chromaticity diagram, and compare it with the preset discrimination area to determine the grain type of rice, brown rice, paddy, etc. Is what you do.

When "mochi" is measured by the color sensor 2,
The R, G, B components of the three primary colors are respectively 124, 116, 9
6 are measured, and R, G, and B components are respectively 94 in the normalized numerical values obtained by normalizing each component value from all the measured values.
(Calculated by 124 ÷ ｛124 + 116 + 96｝ × 255, and other component values are calculated in the same manner.), 88, 7
It becomes 3.

Next, the standardized numerical values from now on
(International Commission on Illumination) CIE numerical values L *, a * (displaying the chromaticity of the R component)
Calculating b * (displaying the chromaticity of the B component) results in 65.4, 0.72, and 8.05, respectively. Similarly, in “paddy”, the R, G, and B component values are respectively 78, 59,
36, standardized numerical values are 115, 87, 53, respectively, CI
E numerical values L *, a * and b * are 66.4 and 7.4, respectively.
5, 22.28.

Similarly, in brown rice, the R, G, and B component values are 81, 65, and 44, respectively, and the normalized numerical values are 1 each.
09, 87, 59 and CIE numerical values L *, a *, b * are 66.09, 5.78, 17.71, respectively. When the grain type determination starts, the color sensor 2 detects the R, G, and
The voltage value of the B component value is measured, and then R.
Calculate the normalized value of the GB component value, and then calculate the CI
E Calculate the numerical values a * and b *.

The measured CIE values a *, b *
Is compared with the rice-based reference region shown in FIG. 5. If the rice-based rice is matched with the rice-based reference region, it is determined that the rice cake has the rice cake. If it matches the paddy standard area, it is determined to be paddy,
If they do not match, it is determined to be brown rice. This example is
The standardized numerical value is calculated by the ratio of the three primary color component values of the grain to the total light amount, and then the CIE numerical values a *,
Since b * is calculated to determine the grain type, in order to determine the position on the chromaticity diagram, the influence of the surrounding brightness is reduced, and the R component value and the B component value having large differences are used. Thus, highly accurate grain type determination can be performed.

[Brief description of the drawings]

FIG. 1 is a side view

FIG. 2 is a flowchart.

FIG. 3 is a graph showing determination reference values for glutinous rice, brown rice, and paddy.

FIG. 4 is a flowchart.

FIG. 5 is a diagram showing determination areas of rice cake, brown rice, and paddy

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... Input hopper, 2 ... Color sensor, 3 ... Judgment part, 4 ...
Transfer spiral.

Claims (1)

[Claims] 1. A color sensor 2 capable of analyzing reflected light or transmitted light of a grain into R, G, and B component values of three primary colors and measuring the amount of light, and R component values and B of three primary colors measured by the color sensor 2. A grain type determination unit configured to determine a grain type by comparing a measured ratio of component values with a reference value.