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基于机器双目视觉的奶牛体尺参数的测量应用

Measurement application of body size parameters of dairy cow based on machine binocular vision

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【作者】 张晨光雷金辉陈焰张矿伟

【Author】 Zhang Chenguang;Lei Jinhui;Chen Yan;Zhang Kuangwei;School of Information Engineering and Automation , Kunming University of Science and Technology;School of Physics and Electronic Engineering , Yuxi Teachers College;

【机构】 昆明理工大学信息工程与自动化学院玉溪师范学院物理与电子工程学院

【摘要】 为解决奶牛养殖过程中人工测量奶牛体尺的繁琐的问题,减少投入的人力、工作量以及奶牛的应激反应,提出一种基于机器双目视觉无应激反应奶牛体尺数据的测量方法。该方法主要包括摄像机的标定、图像的获取、图像的预处理、奶牛外部轮廓的提取,通过SIFT算法进行奶牛特征点的匹配,通过计算得到的匹配点三维坐标可计算出奶牛的体尺数。实验对20头奶牛进行图片采集,奶牛体尺的平均误差小于1.21%。机器视觉技术应用于奶牛畜牧养殖领域,加快了实现奶牛的精细化饲喂养殖。

【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.

【基金】 云南省教育厅科学研究基金项目(2016ZZX201);云南省应用基础研究项目(2018FD093)
  • 【文献出处】 电子技术应用 ,Application of Electronic Technique , 编辑部邮箱 ,2020年06期
  • 【分类号】S823;TP391.41
  • 【被引频次】6
  • 【下载频次】272
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