Contour extraction via contextual modulation

Wentao Huang, Licheng Jiao, Yuelei Xu, Ye Sun, Jianhua Jia

Research output: Contribution to journalArticle

Abstract

Contour extraction is an important task in image processing and computer vision. The contextual modulation is a universal phenomenon in the primary visual cortex (VI). A biologically motivated computational model is presented for contour extraction in this paper. Two mechanisms of contextual modulation, surround suppression and collinear facilitation, are integrated in this model. We obtain good results via this model to extract contours from images with noise and texture backgrounds. This work provides a biologically motivated approach with great potential for computer vision.

Original languageEnglish (US)
Pages (from-to)329-331
Number of pages3
JournalChinese Journal of Electronics
Volume18
Issue number2
StatePublished - Apr 1 2009

    Fingerprint

Keywords

  • Computer vision
  • Contextual modulation
  • Contours extraction
  • Gabor energy

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Huang, W., Jiao, L., Xu, Y., Sun, Y., & Jia, J. (2009). Contour extraction via contextual modulation. Chinese Journal of Electronics, 18(2), 329-331.