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  • 标题:2D Shape Reconstruction Based on Combined Skeleton-Boundary Features
  • 本地全文:下载
  • 作者:Mr. j.komala lakshmi ; Dr. M. Punithavalli
  • 期刊名称:International Journal of Image Processing (IJIP)
  • 电子版ISSN:1985-2304
  • 出版年度:2010
  • 卷号:4
  • 期号:4
  • 页码:293-306
  • 出版社:Computer Science Journals
  • 摘要:Reconstructing a shape into meaningful representation plays a strong role in shape-related applications. It is motivated by recent studies in visual human perception discussing the importance of certain shape boundary features as well as features of the shape area; it utilizes certain properties of the shape skeleton based on symmetry axes combined with boundary features based on curvature to determine protrusion strength. The main contribution of this paper is the combination of skeleton and boundary information by deploying the symmetry -curvature duality method to simulate human perception based on results of research in visual perception. The experiments directly compare our algorithm with experiments on human subjects. They show that the proposed approach meets the human perceptual intuition. In comparison to existing methods, our method gives a perceptually more reasonable and stable result. Furthermore, the noisy shape reconstruction demonstrates the robustness of our method, experiments of different data sets prove the invariant representation of the combined skeleton-boundary approach.
  • 关键词:: Protrusion;; Symmetry-curvature duality; Bamboo boundary; merging point
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