A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A neural model of contour integration in the primary visual cortex
Neural Computation
Two-Dimensional Digital Signal Processing II: Transforms and Median Filters
Two-Dimensional Digital Signal Processing II: Transforms and Median Filters
A model of contextual interactions and contour detection in primary visual cortex
Neural Networks - 2004 Special issue Vision and brain
A biologically motivated multiresolution approach to contour detection
EURASIP Journal on Applied Signal Processing
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Extraction of object contours from the natural scene is a difficult task because it is hard to distinguish between object contour and texture edge. To overcome this problem, this paper presents a contour extraction method inspired by visual mechanism. Firstly, a biologically motivated surround inhibition process, improved by us, is applied to detect contour elements. Then we utilize visual cortical mechanisms of perceptual grouping to propose a contour grouping model. This model consists of two levels. At low level, a method is presented to compute local interaction between contour elements; at high level, a global energy function is suggested to perceive salient object contours. Finally, contours having high energy are retained while the others, such as texture edge, are removed. Experimental results show our method works well.