计算机应用 ›› 2014, Vol. 34 ›› Issue (3): 846-850.DOI: 10.11772/j.issn.1001-9081.2014.03.0846

• 虚拟现实与数字媒体 • 上一篇    下一篇

基于机器视觉的羊体体尺测量

江杰,周丽娜,李刚   

  1. 内蒙古科技大学 信息工程学院,内蒙古 包头014010
  • 收稿日期:2013-09-26 修回日期:2013-12-02 出版日期:2014-03-01 发布日期:2014-04-01
  • 通讯作者: 周丽娜
  • 作者简介:江杰(1959-),男,内蒙古包头人,教授级高级工程师,主要研究方向:智能信息处理、人机交互、网格;周丽娜(1988-),女,内蒙古乌兰察布人,硕士研究生,主要研究方向:机器视觉、图像处理;李刚(1983-),男,重庆人,硕士,主要研究方向:图像处理、机器视觉、导航技术、通信技术。
  • 基金资助:

    内蒙古科技大学创新基金资助项目

Sheep body size measurement based on computer vision

JIANG Jie,ZHOU Lina,LI Gang   

  1. School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou Nei Mongol 014010, China
  • Received:2013-09-26 Revised:2013-12-02 Online:2014-03-01 Published:2014-04-01
  • Contact: ZHOU Lina

摘要:

体尺参数是评价羊生长状况的重要指标,如何实现其无应激测量是羊养殖过程中亟需解决的重要问题。引入机器视觉相关方法,运用基于灰度的背景差分法,结合色度不变性原理,从复杂环境中检测羊体,并借助栅格法,提取羊体上轮廓包络线;采用D-P算法和海伦〖CD*2〗秦九绍公式对轮廓序列进行分析,获取包络线最大曲率点,并以此作为羊体臀部测点;在此基础上,采用四点法求取羊体的其他3个测点,结合空间分辨率,得出羊体的体尺参数,实现无接触测量。实验结果表明,所提方法可以有效从复杂环境中提取出羊体;羊体臀部测点可以有效稳定地确定,羊体身高可稳定获取;由于环境光线的复杂性,肩胛点的确定仍存在一些问题。

关键词: 体尺测量, 背景差分法, 阴影抑制, 测点提取, 机器视觉

Abstract:

Body size parameters are important indicators to evaluate the growth status of sheep. How to achieve the measurement with non-stress instrument is an urgent and important problem that needs to be resolved in the breeding process of sheep. This paper introduced corresponding machine vision methods to measure the parameters. Sheep body in complex environment was detected by gray-based background subtraction method and chromaticity invariance principle. By virtue of grid method, the contour envelope of sheep body was extracted. After analyzing the contour sequence with D-P algorithm and Helen-Qin Jiushao formula, the point with maximum curvature in the contour was acquired. The point was chosen as the measurement point at the hip of sheep. Based on the above information, the other three measurment points were attained using four-point method and combing the spatial resolution, the body size parameters of sheep body were acquired. And the contactless measurement was achieved. The experimental results show that, the proposed method can effectively extract sheep body in complex environment; the measurement point at hip of sheep can be stably determined and the height of sheep can be stably attained. Due to the complexity of the ambient light, there still exits some problems when determining the shoulder points.

Key words: Body size measuring, Background subtraction, Shadow suppression, Measuring point extraction, Machine Vision

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