Optimal grayscale morphological filters under the LMS algorithm

Aldo Morales, Sung-Jea Ko

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

1 Citation (Scopus)

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
Title of host publicationMidwest Symposium on Circuits and Systems
Place of PublicationPiscataway, NJ, United States
PublisherPubl by IEEE
Pages129-133
Number of pages5
Volume1
ISBN (Print)0780317610
Publication statusPublished - 1993 Dec 1
Externally publishedYes
EventProceedings of the 36th Midwest Symposium on Circuits and Systems - Detroit, MI, USA
Duration: 1993 Aug 161993 Aug 18

Other

OtherProceedings of the 36th Midwest Symposium on Circuits and Systems
CityDetroit, MI, USA
Period93/8/1693/8/18

ASJC Scopus subject areas

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

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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 (Vol. 1, pp. 129-133). Publ by IEEE.