DocumentCode
1917671
Title
Bi-variate pattern spectrum
Author
Ghosh, Pinaki ; Chanda, Bhabotosh
Author_Institution
Dept. of Math., Jadavpur Univ., Calcutta, India
fYear
1998
fDate
20-23 Oct 1998
Firstpage
476
Lastpage
483
Abstract
Bivariate pattern spectrum is the generalization of the concept of usual pattern spectrum. The usual pattern spectrum is the mapping from multidimensional set to 1D vector, whereas bivariate pattern spectrum is the mapping of multidimensional set to 2D vector. The introduction of bivariate pattern spectrum, based upon the geometrical concepts, has the notion to develop a shape-size descriptor, in the true sense. For defining bivariate pattern spectrum we introduce the concept of parametric and conditional parametric morphological operators. The usual binary morphological operators are the special case of parametric morphological operators
Keywords
fuzzy set theory; image processing; mathematical morphology; 1D vector; bi-variate pattern spectrum; multidimensional set; parametric morphological operators; pattern spectrum; shape-size descriptor; Airports; Fuzzy sets; Gray-scale; Mathematics; Measurement techniques; Morphological operations; Multidimensional systems; Pattern recognition; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics, Image Processing, and Vision, 1998. Proceedings. SIBGRAPI '98. International Symposium on
Conference_Location
Rio de Janeiro
Print_ISBN
0-8186-9215-4
Type
conf
DOI
10.1109/SIBGRA.1998.722795
Filename
722795
Link To Document