Binarization of inhomogeneously illuminated images

Volodymyr V. Kindratenko, Boris A. Treiger, Piet J.M. Vanespen

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

Abstract

Most grey level thresholding methods produce good results only when the illumination of the image is homogeneous. An automatic binarization technique suitable for images containing regions of different brightness is presented. It does not use image’s grey level histogram as a source of information. Rather, the method is based on the transformation of the raster image in such a way that the transformed image can be easy thresholded. A comparison with histogram based threshold selection technique is given.

Original languageEnglish (US)
Title of host publicationImage Analysis and Processing - 8th International Conference, ICIAP 1995, Proceedings
EditorsCarlo Braccini, Leila DeFloriani, Gianni Vernazza
PublisherSpringer
Pages483-487
Number of pages5
ISBN (Print)3540602984, 9783540602989
DOIs
StatePublished - 1995
Externally publishedYes
Event8th International Conference on Image Analysis and Processing, ICIAP 1995 - San Remo, Italy
Duration: Sep 13 1995Sep 15 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume974
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Image Analysis and Processing, ICIAP 1995
Country/TerritoryItaly
CitySan Remo
Period9/13/959/15/95

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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