Research on Threshold Segmentation and Hough Circle Detection Based on Grape Image
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Abstract
To solve the problem that the shape of the fruit is round and overlapping, the segmentation and circle detection of the image of the fruit are studied, which provides a feasible method for the recognition and positioning of the fruit by mechanical picking. In this paper, the image is first enhanced, Tsallis entropy algorithm and Ostu method are selected to find the best threshold for image segmentation, and Hough transform is combined to detect the target region automatically. By comparing the segmentation and detection effects of Tsallis entropy algorithm and Ostu method on grape images, the experimental results show that under the condition of the same radius and sensitivity of 0.96, the segmentation effects of the two algorithms are comparable, and the Ostu method correctly detects relatively more grape numbers. The proposed algorithm can effectively improve the detection and operation efficiency and reduce the calculation amount.
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