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
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201866
