Object detection based on cluttered infrared image background suppression

Dongjie Tan, Linyan Cui, An Zhang

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

2 Scopus citations

Abstract

A combined method is presented for targets extraction in infrared images. In the combined method, the multiscale retinex with the modified logarithmic image processing (MLIP-MSR) model is proposed to simultaneously enhance infrared targets and suppress the cluttered background. And then, the mathematical morphology method and threshold segmentation method are used to segment the infrared targets from the suppressed background. Experimental results are performed to verify the effective performance of the proposed methods.

Original languageEnglish
Title of host publicationProceedings of the 9th International Symposium on Linear Drives for Industry Applications, LDIA 2013
PublisherSpringer Verlag
Pages787-795
Number of pages9
EditionVOL. 2
ISBN (Print)9783642406294
DOIs
StatePublished - 2014
Event9th International Symposium on Linear Drives for Industry Applications, LDIA 2013 - Hangzhou, China
Duration: 7 Jul 201310 Jul 2013

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 2
Volume271 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference9th International Symposium on Linear Drives for Industry Applications, LDIA 2013
Country/TerritoryChina
CityHangzhou
Period7/07/1310/07/13

Keywords

  • Infrared image
  • LIP
  • MSR
  • Object extraction

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