期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2015
卷号：7
期号：1
页码：93
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Shape representation is an important aspect in image processing and computer vision. There areseveral skeleton transforms that lead to morphological shape representation algorithm. One of the mainproblems with these algorithms is in selecting the skeleton points that represent the shape component. If thenumbers of skeleton subsets are reduced then the reconstruction process will be easy and time consuming.The present paper proposes a skeleton scheme that selects skeleton points based on the largest shapeelement. By this, overall skeleton subsets will be reduced. The present method is applied on various imagesand is compared with generalized skeleton transform and octagon-generating decomposition algorithm.
