Contour Extraction via Contextual Modulation

Contour extraction is an important taskin image processing and computer vision. The contextualmodulation is a universal phenomenon in the primary visual cortex (V1). A biologically motivated computationalmodel is presented for contour extraction in this paper.Two mechanisms of contextual modulation, surround suppression and collinear facilitation, are integrated in thismodel. We obtain good results via this model to extractcontours from images with noise and texture backgrounds.This work provides a biologically motivated approach withgreat potential for computer vision.