Affected by historical reasons, rice production has always been devoted to the study of increasing yield, but research on the quality of rice food is lacking. With the development of society and the continuous improvement of living standards, the quality requirements for rice are constantly increasing. In order to improve the quality of rice, various quality indicators of rice need to be detected in a timely manner in the production, processing, storage, and circulation of rice. The rice appearance quality inspection system can effectively measure the quality of rice. Wechat scans, information is known! :
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With the rapid development of computer software and hardware technology and image processing technology, its application in agriculture has made great progress. At present, this research is still a hot topic in the field of international agricultural engineering. The use of machine vision technology to detect the quality of rice can not only improve the detection efficiency of rice quality, but also overcome the influence of subjective factors, reduce the detection error, and make the detection of rice quality become more rapid, objective and accurate.
The rice appearance quality inspection system uses a machine vision system to obtain images of rice, and then uses the one-dimensional saturation characteristics of the rice image to classify the rice into normal white rice grains and different-color rice grains. Then a variety of rice grains are simultaneously detected through a classification threshold. Different color rice grains. Since the scanning area growth method can increase the saturation characteristic value of individual rice grains, and the different saturation characteristic values ​​of normal white rice grains and different-color rice grains can optimize the classification threshold, a single color rice grain can be accurately detected in the rice grain group, and accuracy Higher. The test results show that the accuracy of this method for detection of heterochromatic rice is 97.8%. 