Abstract: In order to explore automatic seed cutting of potato and potato bud eye recognition, the present paper reported a relevant approach based on machine vision. It used camera to collect images, and computer to process images. In the part of image segmentation, it utilized Euclidean distance to segment the region of bud eye in color space. Then, the dynamic threshold segmentation was carried out after image filtering and intensification, to segment bud eyes in gray space. At last, it combined the two segmentation part, and used mathematical morphology to label bud eye out. It was shown that in color space, the recognition accuracy rate was 62%, and in gray space, the recognition accuracy rate was 89%. Combined together, the recognition accuracy rate was 96%. The proposed method exhibited high recognition accuracy rate, acceptable robustness and intact boundary of bud eye, which laid theoretical foundation for automatic seed cutting of potato.

Key words: bud eye recognition, machine vision, image segmentation, potatoes