Optimal grayscale morphological filters under the LMS algorithm

Aldo Morales, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents a method for determining optimal grayscale function processing (FP) morphological filters such as close-opening (CO) 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 2-D images are presented.

Original languageEnglish (US)
Title of host publicationMidwest Symposium on Circuits and Systems
PublisherPubl by IEEE
Pages129-133
Number of pages5
ISBN (Print)0780317610
StatePublished - Dec 1 1993
EventProceedings of the 36th Midwest Symposium on Circuits and Systems - Detroit, MI, USA
Duration: Aug 16 1993Aug 18 1993

Publication series

NameMidwest Symposium on Circuits and Systems
Volume1

Other

OtherProceedings of the 36th Midwest Symposium on Circuits and Systems
CityDetroit, MI, USA
Period8/16/938/18/93

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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  • Cite this

    Morales, A., & Ko, S. J. (1993). Optimal grayscale morphological filters under the LMS algorithm. In Midwest Symposium on Circuits and Systems (pp. 129-133). (Midwest Symposium on Circuits and Systems; Vol. 1). Publ by IEEE.