A Method for Subjective Contour Based on Competition-cooperation Mechanism of Visual Model
基于视觉竞争合作机制的主观轮廓提取

Recognizing subjective contour figures is an intrinsic capability of human vision and an important visual psychological phenomenon.This paper presents a computation approach for subjective contour which utilized the cooperation-competition mechanism of biological vision system.The goal is to simplify the neural-computing of biological vision process modeled in the Boundary Contour System of FACADE(Form and Color and Depth) theory,and to extract subjective contour in a new way.The procedure consists of DOG filtering,cooperative filtering,post-processing of cooperative cues and regrouping of endpoints,corresponding to the oriented edge filtering by simple cells,cooperative filtering by bipole cells and end-stop effect formulated by hypercomplex cells in biological vision system respectivly.As shown by experimental results,this approach is efficient to process both kinds of classic subjective contour figures,the collinear completion information and endpoints.