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Detection and normalization of blown-out illumination areas in grey-scale images

  • Institute of Medical Technology and Equipment

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

2 Citations (Scopus)

Abstract

This work presents a novel approach for blown-out illumination detection and normalization in grey-scale images. This situation takes place when the source of light is too close to the object or the object has high specularity. The presented algorithm calculates the image histogram and exploits it for further parameters calculation, which become a base for background detection algorithm, too bright pixel range definition, and finally the wrong lighting normalization. Examples of introduced algorithm performance are given.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 8th International Symposium, ISVC 2012, Revised Selected Papers
Pages282-291
Number of pages10
EditionPART 1
DOIs
Publication statusPublished - 2012
Event8th International Symposium on Visual Computing, ISVC 2012 - Rethymnon, Crete, Greece
Duration: 16 Jul 201218 Jul 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7431 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Symposium on Visual Computing, ISVC 2012
Country/TerritoryGreece
CityRethymnon, Crete
Period16/07/1218/07/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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