Title :
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
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;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343048
