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Measurement application of body size parameters of dairy cow based on machine binocular vision
1.School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China; 2.School of Physics and Electronic Engineering,Yuxi Teachers College,Yuxi 653100,China
Abstract: In order to solve the cumbersome problem of manually measuring the body size of dairy cows during dairy farming, reduce the manpower, workload and stress response of dairy cows, a measurement method based on machine binocular vision and stress-free cow body size data is proposed. The method mainly includes the calibration of the camera, the acquisition of the image, the preprocessing of the image, the extraction of the external contour of the cow, the matching of the characteristic points of the cow by the SIFT algorithm, and the body size of the cow can be calculated by calculating the three-dimensional coordinates of the matching point. Through the picture collection of 20 cows, the average error of the body size of the cow is less than 1.21%. Machine vision technology is applied in the field of dairy cattle breeding, which accelerates the fine feeding of dairy cows.
Key words : bovine body rule parameters;visual measurement;camera calibration;contour extraction;feature point matching