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
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