Superior grain direct selection method for rice color selector

Abstract

The invention discloses an optimal grain direct selection method for a rice color selector, and relates to the technical field of rice color selection, which comprises the following steps of: traversing an image to be identified line by line and pixel by pixel, performing weighted gray processing on effective material pixel points in the image, if a gray value is smaller than a black threshold value, judging the pixel point as a black pixel point, otherwise, carrying out color analysis on the pixel point, and if the pixel point is within a preset yellowing material RGB range, judging that thepixel point is a yellow pixel point; if the sum of the number of the black pixel points and the number of the yellow pixel points on one rice grain is smaller than an allowable threshold value, judging that the rice grains are high-quality rice grains. According to the method, the high-quality rice grains are directly screened out by accurately identifying the blackened and yellowed rice grains and / or the blackened and yellowed parts in the rice grains, so that the working efficiency and accuracy of high-quality rice grain sorting are greatly improved.

Description

technical field [0001] The invention relates to the technical field of rice color sorting, in particular to a method for direct selection of fine grains used in a rice color sorter. Background technique [0002] With the improvement of living standards, people's consumption of rice is gradually developing in the direction of high-quality, functional and green. Rice screening is usually to use the color difference to remove the heterochromatic impurities mixed in the rice. The main heterochromatic impurities are black impurities and yellow impurities. At present, the existing rice color sorters on the market have the problem that the separation accuracy of heterochromatic impurities is not high enough, and multiple sorting is required. The root cause is that the identification accuracy of heterochromatic impurities is not high enough. At the same time, most of the existing rice color sorting algorithms remove the heterochromatic grains in the material instead of directly sel...

AI Technical Summary

Problems solved by technology

At present, the existing rice color sorters on the market have the problem that the separation accuracy of heterochromatic impurities is not high enough, and multiple sorting is required. The root cause is that the identification accuracy of heterochromatic impurities is not high enough

At the same time, most of the existing rice color sorting algorithms are to remove the heterochromatic grains in the material, instead of directly selecting high-quality rice grains. The heterochromatic impurities also have mixed color impurities, which affect the accuracy of rice color sorting.

Images