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An algorithm for sheep contour extraction

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%.