Method and device for computer vision detection and classification of beef carcase quality

Abstract

This invention relates to beef measurement method and its apparatus, which comprises image acquisition hardware part and software part, wherein the hardware is composed of shining system, cameral devices, image collection device and computer. The shining system comprises fluorescence lamp source, shining box, diffusion coating and high frequency fluorescence lamp ballast. The information is sent to computer through image collection device and the computer extracts the quality characteristics information of the image and gives the final grade of the beef according to the above information.

Description

Technical field [0001] The invention relates to a detection method and device for beef, in particular to a computer vision detection and grading method and device for beef carcass quality. Background technique [0002] my country's agricultural and livestock products are seriously mixed in the market, which is an important reason for the low added value of my country's agricultural and livestock products, slow agricultural value-added and low international share. Beef is an important animal product, and the beef carcass grade standard plays an important role in guiding beef production and beef price. The United States has formulated beef carcass grade standards since the 1920s, and Canada, Japan, Australia and Europe have also formulated their own beef carcass grade standards very early. China’s existing beef carcass grade standards were established by the Ministry of Agriculture in 2003. Promulgated industry standard (NY / T676-2003). Beef carcass grading is based on the be...

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Problems solved by technology

Some researchers have only conducted partial research on a certain aspect of beef quality grades, such as Zhao Jiewen, Liu Muhua, and Zhang Haidong published in the "Journal of Agricultural Engineering" Volume 20 No. 1 (January 2004) "Based on mathematical morphology Research on longus dorsi segmentation and marbling extraction technology in beef images", and Liu Muhua, Zhao Jiewen, Zhang Haidong published in the "Journal of Agricultural Engineering" Vol. Fat and Muscle Region Segmentation Technology in Beef Images", and the article "Application Research of Computer Vision in Beef Marbling Grading" published by Tu Kang and Wang Fuchang in "Grain, Oil Processing and Food Machinery" No. 10, 2003 mainly uses image processing technology The extraction of the marbling of beef has been studied; other researchers have not conducted research directly on a certain aspect of the eating quality of beef according to the standard, such as Sun Yonghai, Xian Yu Jianchuan, Luo Xiaopei, etc. in "Food Science" Volume 24 No. 4 The article "Research on Freshness Evaluation and Image Analysis Method of Chilled Beef" published in the issue (October 2003) used image processing technology to evaluate the freshness of chilled beef on the market

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