关键词: 棉花图像分割, 鲁棒中值估计子, 颜色相似度, 区域合并

Abstract: Because of the direct sunlight and shadow effect, it is difficult to segment cotton image in the natural environment. In order to segment cotton exactly, an improved segmentation algorithm based on watershed is proposed. In the method, a P-M diffusion pattern denoising filter is adopted in the original image. The multi-scale morphology gradient is modified by the hard threshold which gets from robust mean value estimation. Watershed transform is utilized to implement segmentation with the modifying gradient image and a region merging method based on L*a*b* space neighbor color similarity is employed to improve the segmentation result. The experiments show that the proposed algorithm has accurate segmentation result in the direct sunlight and shadow conditions.

Key words: cotton image segmentation, robust mean value estimation, neighbor color similarity, region merging