关键词: 蚕茧分割, 图像锐化, 最大类间方差法, 距离变换

Abstract: When the silkworm cocoons count, in the face of cocoon adhesion, the common method of swelling and corrosion can not separate the silkworm cocoons. In this case, a method of segmentation of silkworm cocoons based on distance transformation is proposed. It processes, and then uses the maximum inter-class variance method to binarize the image, then transforms it, normalizes it, and performs thresholding binary segmentation, then uses morphological expansion processing, and finally performs connected domain labeling. The number of connected domains is statistically analyzed. The experimental results show that the algorithm can effectively segment the cocoons, and can accurately count the cocoons, and the counting accuracy is over 99%.

Key words: segmentation of silkworm cocoons, image sharpening, Otsu, distance transformation