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Marker based watershed to segment dim infrared target through image enhancement

  • CAS - Beijing Institute of Control Engineering
  • Beihang University

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

Abstract

A novel marker based watershed through image enhancement is proposed to segment the dim infrared target. The dim infrared target is firstly enhanced by CB top-hat transformation and image quantization. Then, the accurate marker of the target can be easily obtained through image binarisation and marker filtering. To calculate an efficient gradient image of the dim target for the watershed segmentation, the gradient image is firstly calculated through Sobel operator and then efficiently enhanced through pseudo top-hat transformation and gradient quantization. Because of the enhancement of the dim target and the gradient image, the watershed can efficiently segment the dim infrared image. Experimental results show that the proposed algorithm is much efficient for dim infrared target segmentation.

Original languageEnglish
Title of host publicationSeventh International Symposium on Instrumentation and Control Technology
Subtitle of host publicationMeasurement Theory and Systems and Aeronautical Equipment
DOIs
StatePublished - 2008
Event7th International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment - Beijing, China
Duration: 10 Oct 200813 Oct 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7128
ISSN (Print)0277-786X

Conference

Conference7th International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment
Country/TerritoryChina
CityBeijing
Period10/10/0813/10/08

Keywords

  • Dim infrared target
  • Image enhancement
  • Target segmentation
  • Top-hat transformation
  • Watershed

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