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 language | English (US) |
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Pages (from-to) | 329-331 |
Number of pages | 3 |
Journal | Chinese Journal of Electronics |
Volume | 18 |
Issue number | 2 |
State | Published - Apr 2009 |
Externally published | Yes |
Keywords
- Computer vision
- Contextual modulation
- Contours extraction
- Gabor energy
ASJC Scopus subject areas
- Applied Mathematics
- Electrical and Electronic Engineering