Morphological skeleton and shape decomposition

A novel morphological shape decomposition algorithm which is based on the skeleton transform is presented. The input to the algorithm is the morphological skeleton of a binary shape. Using simple morphological operations, this algorithm decomposes a binary shape into shape segments that correspond to maximal skeleton-induced subregions of the original shape containing no necks. A skeleton-induced decomposition scheme for 2-D shapes is defined. Many extensions to the basic algorithm are also possible. The shape segments produced can be used to construct structural shape descriptions or for other shape analysis purposes.<<ETX>>

[1]  Martin D. Levine,et al.  Vision in Man and Machine , 1985 .

[2]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[3]  Petros Maragos,et al.  Morphological skeleton representation and coding of binary images , 1984, IEEE Trans. Acoust. Speech Signal Process..

[4]  Xinhua Zhuang,et al.  Image Analysis Using Mathematical Morphology , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Linda G. Shapiro,et al.  A Structural Model of Shape , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  M. MANOHAR,et al.  Connected component labeling of binary images on a mesh connected massively parallel processor , 1989, Comput. Vis. Graph. Image Process..