Title :
Morphological shape decomposition
Author :
Pitas, Ioannis ; Venetsanopoulos, Anastasios N.
Author_Institution :
Dept. of Electr. Eng., Thessaloniki Univ., Greece
fDate :
1/1/1990 12:00:00 AM
Abstract :
A technique for decomposing a binary shape into a union of simple binary shapes is presented. The decomposition is shown to be unique and invariant to translation, rotation, and scaling. The techniques used in the decomposition are based on mathematical morphology. The shape description produced can be used in object recognition and in binary image coding
Keywords :
encoding; pattern recognition; binary image coding; encoding; morphological shape decomposition; object recognition; pattern recognition; rotation; scaling; shape description; translation; Image coding; Image communication; Image processing; Morphology; Object recognition; Pattern analysis; Pattern recognition; Robot vision systems; Shape; Skeleton;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on