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Content based thermal images retrieval

  • Hernán Darío Benítez
  • , Gloria Inés Alvarez

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

Abstract

INDT (Infrared Nondestructive Testing) inspections produce large sets of thermal images. The thermal images obtained must be stored to do comparisons with the results of previous and future inspections generating considerable amounts of data to be analyzed. In this paper, we present a CBIR system based on thermal features and spatial relations among defects in the thermal image to measure the similarity between query and database images affected by non uniform heating and taken from anisotropic material samples.

Original languageEnglish
Title of host publicationImage and Signal Processing - 4th International Conference, ICISP 2010, Proceedings
Pages479-487
Number of pages9
DOIs
StatePublished - 2010
Event4th International Conference on Image and Signal Processing, ICISP 2010 - Trois-Rivieres, QC, Canada
Duration: 30 Jun 201002 Jul 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6134 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Image and Signal Processing, ICISP 2010
Country/TerritoryCanada
CityTrois-Rivieres, QC
Period30/06/1002/07/10

Keywords

  • Content based image retrieval
  • Infrared nondestructive testing
  • Spatial relationships
  • Thermal contrast

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