An algorithm for sheep contour extraction

Yajuan Yao; Han Tan; Juan Yao; Cheng Zhang; Fang Tian

doi:10.1117/12.2624332

19 December 2021 An algorithm for sheep contour extraction

Yajuan Yao, Han Tan, Juan Yao, Cheng Zhang, Fang Tian

Proceedings Volume 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain; 1212808 (2021) https://doi.org/10.1117/12.2624332
Event: 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, 2021, Macao, China

Abstract

The body size parameters of sheep are very important for breeding and exploring intelligent breeding mode of sheep. In the measurement of sheep size parameters based on machine vision, the accurate acquisition of sheep contour is the key point of sheep size parameter estimation. In this paper, a self-developed contour extraction algorithm is proposed. The algorithm detects the noise, occlusion wire rope and edge points in the image, and evaluates the segmentation results by calculating the indexes of segmentation accuracy, over-segmentation rate and under-segmentation based on GT (ground truth) image. Experiments results show that the accuracy of the algorithm can reach 95% - 99%.

Citation Download Citation

Yajuan Yao, Han Tan, Juan Yao, Cheng Zhang, and Fang Tian "An algorithm for sheep contour extraction", Proc. SPIE 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain, 1212808 (19 December 2021); https://doi.org/10.1117/12.2624332

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