Contour Detection Model Based on Multi-Level Structural Response of Information Flow
Considering the processing way of visual information flow in multi-level structure of visual pathway,a new image contour de-tection model is proposed.Firstly,according to the characteristics of simple cells in layer 4B of primary visual cortex(V1),which have triple receptive field structure and are sensitive to orientation,the image orientation information is perceived,and the edge contour re-sponse is obtained by complex cells extraction.Secondly,according to the inhibition characteristics of cells in layer 2/3 of V1,the sparseness measure and dynamic coding mechanism of neuron synapses are introduced to inhibit the edge contour response,and the tex-ture inhibition response is obtained.Finally,the fusion correction mechanism of higher visual cortex is used to complement the edge con-tour response and the texture inhibition response to obtain the final contour detection result.Experiments on RuG40 and BSDS500 image datasets show that the proposed algorithm can effectively distinguish the contour and texture information of images,and highlight the main contour.The constructed contour detection model based on multi-level structural response of information flow is valuable for the subsequent image analysis based on biological visual mechanism.
国家科技期刊平台
NSTL
万方数据
