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CCD infrared image segmentation using watershed algorithm

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

Abstract

In recent years, the watershed line has emerged as a primary tool of mathematical morphology for image segmentation, though the application of watershed algorithms to an image is often disappointing. Based on the mathematical morphology, this paper develops a general purpose watershed segmentation algorithm used for the automatic segmentation in regions of pedestrians of infrared image. The approaches of watershed image segmentation algorithm and key processes are presented. Then the experimental system is established by using the infrared CCD device for pedestrian image detection. The image segmentation results, produced by the developed algorithm in the experiment, show that the watershed method can implement the automatic detection and segmentation for the characteristic information in regions of interest of image.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011
Pages680-683
Number of pages4
DOIs
StatePublished - 2011
Event3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 - Shanghai, China
Duration: 6 Jan 20117 Jan 2011

Publication series

NameProceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011
Volume1

Conference

Conference3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011
Country/TerritoryChina
CityShanghai
Period6/01/117/01/11

Keywords

  • CCD
  • Image segmentation
  • Infrared image
  • Mathematical morphology
  • Watershed algorithm

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