DocumentCode :
3000557
Title :
Morphological skeleton representation and shape recognition
Author :
Zhou, Ziheng ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
fYear :
1988
fDate :
11-14 Apr 1988
Firstpage :
948
Abstract :
The nature of the morphological skeleton representation of a binary shape is related to the composition of structuring elements through the distance function defined by morphological set transforms in digital space. Two digital metrics, uniform-step distance and periodically-uniform-step distance, are introduced to provide useful spatial measures for morphological transforms. A natural shape representation by ribbonlike components is accomplished by extraction of skeletal feature primitives from the morphological skeleton of a shape. The hierarchical structure of the representation makes it stable and insensitive to noise disturbance. The matching is a simple top-down process in which the inverses of the skeletal feature primitives at each level are compared. The recognition is based on the similarity measure provided by the matching process
Keywords :
pattern recognition; binary shape; digital metrics; digital space; distance function; hierarchical structure; morphological set transforms; morphological skeleton representation; morphological transforms; natural shape representation; noise disturbance; periodically-uniform-step distance; recognition; shape recognition; similarity measure; skeletal feature primitives; top-down matching; Feature extraction; Microstructure; Morphology; Noise level; Noise shaping; Set theory; Skeleton; Structural shapes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1988.196747
Filename :
196747
Link To Document :
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