Infrared small target enhancement by using sequential top-hat filters

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

Abstract

Generally in the infrared images, the targets have low contrast with the background, which makes the detection of the small targets difficult. To improve the detectability of the infrared small targets, this paper presents a novel algorithm for infrared small target enhancement by using sequential top-hat filters. Moreover, the proposed algorithm has been compared with several existing algorithms. The experimental results indicate that sequential top-hat filters could well enhance the infrared small targets and effectively suppress the background clutters.

Original languageEnglish
Title of host publicationInternational Symposium on Optoelectronic Technology and Application 2014
Subtitle of host publicationImage Processing and Pattern Recognition
EditorsGaurav Sharma, Fugen Zhou
PublisherSPIE
ISBN (Electronic)9781628413878
DOIs
StatePublished - 2014
EventInternational Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, IPTA 2014 - Beijing, China
Duration: 13 May 201415 May 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9301
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInternational Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, IPTA 2014
Country/TerritoryChina
CityBeijing
Period13/05/1415/05/14

Keywords

  • Detection of the infrared small targets
  • Infrared small target enhancement
  • Sequential top-hat filters

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