This paper takes grapefruit as the research object and conducts study on key technologies for quality sort- ing grapefruit production line based on machine vision. The first step is to conduct the image processing for grapefruit moving on the transmission belt such as image acquisition, image segmentation, image smoothing, gray and sharpening se- ries of image processing, and then extracts characteristic values of the size, color and defects the processed images. on this basis, it develops defect detection method and sorting actuators under the conditions that suit the real grapefruit size, shape, color and fruit quality characteristics.

基于机器视觉的胡柚分拣系统的研究与应用.pdf

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