A Survey on Crop Image Segmentation Methods

Abstract

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Nowadays, image processing technology has been applied to all walks of life, and good results have been achieved in the field of agriculture. Image segmentation is the foundation and key of image processing. In order to understand the application status of image segmentation technology in the agricultural field, this article systematically sorts out some mainstream image segmentation methods. First, it introduces segmentation methods based on threshold, clustering, edge, graph theory and superpixel segmentation, and then introduces Segmentation method based on deep learning, and prospects for future research trends.