An Image Combination Segmentation Method Based on Clustering Analysis and Edge Detection

Considering that it is difficult to completely segment the spider mite image on the leaves of field crops from the leaf background, a combination segmentation method combining K-means clustering algorithm and Canny edge detection algorithm is proposed. This method first uses the K-means clustering algorithm to filter out most of the leaf background, then extracts the edge closed contour of the spider mite based on Canny edge detection, and implements the binarization segmentation of the spider mite image by algorithms such as seed filling and morphological opening operations. Experiments show that this method can achieve complete segmentation of spider mites images on leaves, which provides a new technique and method for spider mite pest analysis and insect number counting.