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What is Applications of Image Segmentation about?

Image segmentation involves dividing an image into regions of similar pixels by looking for coherent regions where pixels share properties like color or intensity. Common segmentation methods include region growing, clustering, split-and-merge, and watershed algorithms, with split-and-merge starting with the whole image and recursively splitting inhomogeneous regions until homogeneity is achieved and then merging neighboring regions. The goal of segmentation is to partition an image into meaningful objects

Author

chaman.singh.ug20

Language

EN