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| Contour Detection Model Based on Mechanisms of Visual Perception in Environment of Low Contrast |
| CHEN Jian-Jun, REN Yong-Feng, ZHENG Guo-Yong |
National Key Laboratory for Electronic Measurement Technology,North University of China,Taiyuan 030051
Key Laboratory of Instrumentation Science and Dynamic Measurement,Ministry of Education, North University of China,Taiyuan 030051 |
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Abstract The traditional contour detection model based on mechanisms of visual perception loses some of the object contours at low local contrast. And it augments the noise or breaks around the corner of the local high curvature contour in the collinear enhancement. To solve these problems, a contour detection model based on the mechanism of visual perception in the environment of low contrast is proposed. Based on the traditional model, the adjustment mechanism of stimulus contrast is introduced, which adjusts the size of receptive field and the strength of lateral inhibition. According to Gestalt principles of perceptual organization, the disinhibition region is divided into adjacent disinhibition region and peripheral disinhibition region which are given different enhancement mechanisms respectively. And the acquired binary image is morphologically filtered to eliminate noises. The experimental results for natural images show that the model has significant effects on above issues and it improves the performance of contour extraction in natural background.
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Received: 16 February 2011
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2012, Vol. 25 
