A METHOD OF TOMATO IMAGE SEGMENTATION BASED ON MUTUAL INFORMATION AND THRESHOLD ITERATION
Threshold Segmentation is a kind of important image segmentation method and one of the important preconditioning steps of image detection and recognition, and it has very broad application during the research scopes of the computer vision. According to the internal relation between segment image and original image, a tomato image automatic optimization segmentation method (MI-OPT) which mutual information associate with optimum threshold iteration was presented. Simulation results show that this method has a better image segmentation effect on the tomato images of mature period and little background color difference or different color.
KeywordsMutual Information Image Segmentation Segmentation Method Threshold Segmentation Optimization Segmentation
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