Title :
Morphological skeleton and shape decomposition
Author_Institution :
Dept. of Math. & Comput. Sci., Glassboro State Coll., NJ, USA
Abstract :
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
Keywords :
computational geometry; pattern recognition; picture processing; binary shape; morphological skeleton; pattern recognition; picture processing; shape decomposition; skeleton transform; Computer science; Data mining; Discrete transforms; Educational institutions; Image reconstruction; Mathematics; Morphological operations; Neck; Skeleton; Structural shapes;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.118233