In this process, the image is divided into smaller parts called segments to make the analysis and further processing easy. An image is subdivided using segmentation. The segmentation of the image divides it into objects or regions. The subdivision of the image depends on the depth of the problem. Segmentation algorithms work basically on two properties of the image: similarity and discontinuity. The first category defines sudden changes in the intensity of the image. The second category is based on dividing the image into objects. Segmentation algorithm mainly implemented on plant leaves K-means clustering.
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