Bi-variate pattern spectrum

被引：6

作者：

Ghosh, P ^{[1
]}

Chanda, B ^{[1
]}

机构：

[1] WIPRO GE Med Syst, Bangalore 560017, Karnataka, India

来源：

SIBGRAPI '98 - INTERNATIONAL SYMPOSIUM ON COMPUTER GRAPHICS, IMAGE PROCESSING, AND VISION, PROCEEDINGS | 1998年

关键词：

parametric morphological operators; fuzzy set theory; multiscale filtering;

D O I：

10.1109/SIBGRA.1998.722795

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：476 / 483

页数：8