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OPTIMAL MORPHOLOGICAL SHAPE
DECOMPOSITION SCHEME
C. Vasanthanayaki, S. Annadurai
Department of Computer Science and Engineering, Govt College of Technology, Coimbatore – 641013. India.
Abstract:
Shape is one of the most important property that is
perceived about objects. It allows predicting more facts
about an object when compared with other features. Thus
recognizing shape is crucial for object recognition.
This paper proposes an optimal morphological shape
decomposition scheme that represents the object
accurately and efficiently. The high level of redundancy
in representation is the main problem of existing
morphological shape representation methods, which is
overcome by the proposed method. The overlapping among
shape components of same and different sizes is
completely eliminated by this method and the resultant
representation can be used for shape related processing.
Keywords:
Mathematical Morphology, Shape Element, Structuring
element, Degree of Overlapping, Representation
Efficiency.
Biography:
BibTex: @ARTICLE{P1150526004,
AUTHOR = {C. Vasanthanayaki and S. Annadurai},
TITLE = {OPTIMAL MORPHOLOGICAL SHAPE DECOMPOSITION SCHEME}, JOURNAL = {ICGST International Journal on Graphics, Vision and Image Processing}, YEAR = {2005}, MONTH = {July}, VOLUME = {05}, ISSUE = {7}, PAGES = {1--7} } ( |
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