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TRACT\udShape representation is an important aspect in image processing and computer vision. There are\udseveral skeleton transforms that lead to morphological shape representation algorithm. One of the main\udproblems with these algorithms is in selecting the skeleton points that represent the shape component. If the\udnumbers of skeleton subsets are reduced then the reconstruction process will be easy and time consuming.\udThe present paper proposes a skeleton scheme that selects skeleton points based on the largest shape\udelement. By this, overall skeleton subsets will be reduced. The present method is applied on various images\udand is compared with generalized skeleton transform and octagon-generating decomposition algorithm. \u

international journal of computer science and information technology/international journal of computer science and information technology  (chennai. print)

An Iterative Morphological Decomposition Algorithm for Reduction Of Skeleton Points