A HVS-driven image segmentation framework using a local segmentation performance measure

Renbin Peng, Pramod K. Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a novel framework for image segmentation. In this framework, image segmentation is considered to be a detection problem, and a "soft" segmentation objective function, in terms of the detection performance measure in local regions, is employed to guide the segmentation procedure. The human visual system information is also incorporated into the segmentation procedure to improve the efficiency of the framework by introducing a contrast sensitivity function-weighting operation in the wavelet domain. Encouraging experimental results are obtained when the algorithm is applied to real-world image data.

Original languageEnglish (US)
Title of host publication2010 Western New York Image Processing Workshop, WNYIPW 2010 - Proceedings
Pages18-21
Number of pages4
StatePublished - Dec 1 2010
Event2010 13th Western New York Image Processing Workshop, WNYIPW 2010 - Rochester, NY, United States
Duration: Nov 5 2010Nov 5 2010

Publication series

Name2010 Western New York Image Processing Workshop, WNYIPW 2010 - Proceedings

Other

Other2010 13th Western New York Image Processing Workshop, WNYIPW 2010
CountryUnited States
CityRochester, NY
Period11/5/1011/5/10

Keywords

  • Human visual system
  • Image segmentation
  • Markov random fields

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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    Peng, R., & Varshney, P. K. (2010). A HVS-driven image segmentation framework using a local segmentation performance measure. In 2010 Western New York Image Processing Workshop, WNYIPW 2010 - Proceedings (pp. 18-21). [5649767] (2010 Western New York Image Processing Workshop, WNYIPW 2010 - Proceedings).