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Multivalue processing of gray-level image

  • De Chen Zhan*
  • , Jing Chun Chen
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Multivalue processing of gray-level image is to transform an image with l gray levels into an image with k gray levels where k is always less than l. In this paper, a new novel, flexible multivalue method based on the selection of varied local extreme points (δ-extreme) on gray histograms of the image is proposed and discussed. Several experimental results are given out in the paper to show that this algorithm is very effective, especially for those images with flat histograms.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Society of Photo-Optical Instrumentation Engineers
Pages218-224
Number of pages7
ISBN (Print)0819410209
StatePublished - 1993
EventDigital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II - Boston, MA, USA
Duration: 19 Nov 199220 Nov 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1819
ISSN (Print)0277-786X

Conference

ConferenceDigital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II
CityBoston, MA, USA
Period19/11/9220/11/92

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