DocumentCode
3060029
Title
Shape and image matching by use of morphology
Author
Gong, Wei ; Shi, Qinyun ; Cheng, Minde
Author_Institution
Nat. Lab. of Machine Perception, Peking Univ., China
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
673
Lastpage
676
Abstract
New measures for shape and image matching error are presented based on morphological method. It is shown that they grasp the structural and distributive information of the error so as to avoid the incorrect decision by classical ways. The properties of the new measures, such as the dominance of large features, are given. The experiments show these measures have a strong ability against noise and can be used effectively in shape recognition and image registration
Keywords
feature extraction; image recognition; distributive information; image matching; image registration; large features; matching error; morphology; noise; shape recognition; Gray-scale; Image matching; Image recognition; Information science; Laboratories; Morphology; Noise measurement; Pattern matching; Pattern recognition; Shape measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2915-0
Type
conf
DOI
10.1109/ICPR.1992.201866
Filename
201866
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