基于计算机视觉的动物饲料和动物粪便检测研究

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-10-01 DOI:10.1109/SOLI.2014.6960721

B. Hu, Qiuchang Tian, Zizhang Chen, Gang Xiong, Xin Wang, Qiang Wang

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引用次数: 0

摘要

本文提出了用于养殖管理的动物饲料和动物粪便检测算法。在饲料检测方面，该算法利用颜色和Canny边缘特征对饲料进行检测，并通过形态学处理得到饲料检测区域。对于动物粪便检测，采用中值滤波结合霍夫直线变换计算污染面积。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on animal feed and animal waste detection based on computer vision

This paper presents algorithms to detect animal feed and animal waste for farming management. For the animal feed detection, the algorithms use color and Canny's edge feature to detect animal feed and obtain the animal feed detection area by morphological processes. For the animal waste detection, the contaminated area is calculated by using median filter together with Hough's straight line transformation.

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Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics

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