Authors

Abstract

In order to improve the quality of sheep foreground object segmentation, images are segmented using the watershed algorithm in combination with a growing region algorithm, and the pixel-by-pixel comparison of segmentation is optimized to reduce the processing time. Compared with other algorithms, the optimized watershed algorithm can achieve more complete target extraction, and its processing time is improved by over 50% compared with the other six algorithms. Moreover, the optimized watershed algorithm has the optimal overall image quality indicators. This algorithm can provide a reference for the real-time extraction of the activity state of sheep.

Abstract in Chinese

为改善羊只前景目标分割的质量，结合分水岭算法与生长区域算法对图像进行分割，优化分割的逐像素比较，改进运算时间。改进后的分水岭算法较其它算法目标提取更完整，较其它六种算法处理时间提升50%以上，各项图像质量指标总体最佳。该算法为实时地提取羊只活动状态提供了一定的借鉴和参考。