Abstract Based on characteristics of color opponent and dynamic coding mechanism of neuron population, to realize the contour detection of images. Modeling the single color opponent characteristics of neurons on sub-cortex, a kind of dynamic adjustment mechanism about receptive field with single color opponent was constructed, in order to respond sufficiently on both color and lightness boundaries. Using the dendrite polar distribution of single cells, a neuron network with double color opponent on primary cortex was built to detect visual stimulus of specific orientation, in order to effectively extract the contour. Finally, taking the dynamic synaptic link into consideration, spike frequency response of single cells was synchronized in receptive field of neuron population, in purpose of realizing the inhibition of texture information. BSDS500 database was used in the experiments, the result indicates that the proposed method can effectively inhibit the texture information in the process of extracting the contour, the mean value and standard deviation of measure P for 100 images was 0.58±0.04, relative to other contrast method, improves the accuracy of contour extraction. Our method is effective for image contour detection, and provides a new idea for the image coding or visual cognition of the higher cortex by using the color information and the dynamic coding between the neurons.
Hu Junhao,Fan Yingle,Li Kangqun, et al. A Contour Detection Method Based on Color Opponent and Dynamic Coding of Neurons[J]. Chinese Journal of Biomedical Engineering, 2017, 36(5): 520-528.
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