DocumentCode :
3466529
Title :
Adaptive morphological operators, fast algorithms and their applications
Author :
Cheng, F. ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
fYear :
1993
fDate :
1-3 Aug. 1993
Firstpage :
253
Lastpage :
256
Abstract :
A general form of morphological operators is developed. The structuring elements of the operators adapt their shapes according to the local features of the processed image and can be any shape formed by connecting a given number of predetermined basic elements. The basic element can be a single pixel or any other connected small shape. It is shown that while sharing the basic properties of the conventional morphological operators, the operators also have some distinguished properties. Those properties are related to intuitive descriptions of the geometric performances of the operators and the development of fast algorithms for the implementation of the operators. The efficiency of the operators in image processing is discussed, and two application examples are given.<>
Keywords :
combinatorial mathematics; optimisation; picture processing; adaptive morphological operators; combinatorial mathematics; geometric performances; image processing; intuitive descriptions; optimisation; picture processing; Combinatorial mathematics; Image processing; Optimization methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Engineering, 1991., IEEE International Conference on
Conference_Location :
Dayton, OH, USA
Print_ISBN :
0-7803-0173-0
Type :
conf
DOI :
10.1109/ICSYSE.1991.161126
Filename :
161126
Link To Document :
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