Machine Vision Based Yak Body Size Measuring Points

作     者：Zijie Sun Chen Zhang XiaoFeng Qin Yu-an Zhang Meiyun Du Weiru Song Rende Song 

作者机构：Department of Computer Technology and Applications University of Qinghai Xining 810016 China. Interdisciplinary Graduate School of Agriculture and Engineering University of Miyazaki Japan Yushu Prefecture Animal Husbandry and Veterinary Station 815000 Yushu Qinghai China 

出 版 物：《IOP Conference Series: Materials Science and Engineering》 

年 卷 期：2018年第466卷第1期

摘      要：In livestock breeding, it is a research hotspot to conduct non-contact measuring and acquire the body size parameters of animals without stirring stress. And traditional animal body size manual measurement methods involve heavy workload and safety risks. This paper aims to acquire the color image of yak by shooting the traditional body size measurement position of yaks in Sanjiangyuan area. Then, a classification processing based foreground extraction method is used to extract the yak from the image; after the profile curve of the yak is extracted, the temple point and ischium end of the yak are obtained by means of calculating the distance between the image border and the central point. Finally, the body height and body dip length points of the yak are acquired. This paper specially extracts the yak in a yak image shot in Sanjiangyuan area, Qinghai Province, marks points and displays them. The experiment suggests that the dark yak body size point marking algorithm studied by this paper is quite effective to point marking of two-dimensional yak images.