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。
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.
作者
张晨光
雷金辉
陈焰
张矿伟
Zhang Chenguang;Lei Jinhui;Chen Yan;Zhang Kuangwei(School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China;School of Physics and Electronic Engineering,Yuxi Teachers College,Yuxi 653100,China)
出处
《电子技术应用》
2020年第6期59-62,共4页
Application of Electronic Technique
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)。
关键词
牛体尺参数
视觉测量
摄像机标定
轮廓提取
特征点匹配
bovine body rule parameters
visual measurement
camera calibration
contour extraction
feature point matching