Optimal grayscale morphological filters under the LMS algorithm

Author

Morales, Aldo ; Ko, Sung-Jea

Author_Institution

Coll. of Eng., Pennsylvania State Univ., Dubois, PA, USA

fYear

1993

fDate

16-18 Aug 1993

Firstpage

129

Abstract

This paper presents a method for determining optimal grayscale function processing (FP) morphological filters such as close-opening (GO) and open-closing (OC). The proposed method utilizes the matrix representation of both CO and OC with the block basis matrix. With this representation, CO and OC are accomplished by local matrix operations rather than cascade operations. The LMS and back-propagation algorithms are utilized for obtaining the optimal block basis matrix for CO and OC. Some results of optimal morphological filters applied to 2D images are presented

Keywords

backpropagation; filtering theory; image processing; least mean squares methods; matrix algebra; 2D images; LMS algorithm; back-propagation algorithms; block basis matrix; grayscale function processing; local matrix operations; matrix representation; optimal grayscale morphological filters; Adaptive filters; Educational institutions; Filtering algorithms; Fuzzy systems; Gray-scale; Information filtering; Information filters; Least squares approximation; Morphology; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on

Conference_Location

Detroit, MI

Print_ISBN

0-7803-1760-2

Type

conf

DOI

10.1109/MWSCAS.1993.343048

Filename

343048