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.