Locally adaptive fuzzy image enhancement

H. R. Tizhoosh, G. Krell, B. Michaelis

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

Abstract

In recent years, some researchers have applied the concept of fuzziness to develop new enhancement algorithms. The global fuzzy image enhancement methods, however, fail occasionally to achieve satisfactory results. In this work, we introduce a locally adaptive version of two existing fuzzy image enhancement algorithms to overcome this problem.

Original languageEnglish (US)
Title of host publicationComputational Intelligence
Subtitle of host publicationTheory and Applications - International Conference, 5th Fuzzy Days, 1997, Proceedings
EditorsBernd Reusch
PublisherSpringer Verlag
Pages272-276
Number of pages5
ISBN (Print)3540628681, 9783540628682
DOIs
StatePublished - 1997
Event5th Fuzzy Days International Conference on Computational Intelligence, CI 1997 - Dortmund, Germany
Duration: Apr 28 1997Apr 30 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1226
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th Fuzzy Days International Conference on Computational Intelligence, CI 1997
Country/TerritoryGermany
CityDortmund
Period4/28/974/30/97

Keywords

  • Fuzzy image enhancement
  • Histogram hyperbolization
  • Minimization of fuzziness

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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