基于抑制性突触多层神经元群放电编码的图像边缘检测

doi:10.3969/j.issn.0258-8021.2014. 05.01

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Abstract Details of objects’ contour can be acquired from the edge detection, which are considered important for image analysis and understanding correctly. In this paper, a new method for image edge detection was proposed based on vision mechanism. Multilayer neuronal population with inhibitory synapse was constructed to receive the stimuli from an awaited image, and the process of pulse spiking from connected neurons in the 7×7 window of visual receptive field was analyzed, spiking times were recorded for rank coding.Considering the effect of lateral inhibition between neurons, images with the mechanism of selective attention were enhanced; then LogGabor filter was adopted to stimulate the orientation selectivity of visual system for obtaining the filtering results of 8 orientations, the edge map could be acquired through integration processing of the output neuron layer and gray mapping to the range between 0 and 255. Taken the colony images with abundant edge details for processing, the mean value of ROC index for the results was 0698 4, better than that of PCNN, which was 0659 3; the results of the new method were better in the view of consistency in terms of the mean square deviation. Additionally, the new method also owning certain advantages in terms of information entropy, indicating the method proposed could extract edge information effectively and reflect image details in more levels. The method of edge detection proposed in the paper provides a new and effective idea for the image processing based on visual physiological characteristics.

Key words： edge detection neuronal population inhibitory synapse selective attention mechanism ROC index

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	LIAO Jin Wen FAN Ying Le^*WU Wei Gao Yun Yuan LI Yi

Cite this article:

LIAO Jin Wen FAN Ying Le^*WU Wei Gao Yun Yuan LI Yi.

Image Edge Detection Based on Spike Coding of Multilayer Neuronal Population with Inhibitory Synapse

[J]. journal1, 2014, 33(5): 513-524.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2014. 05.01 OR http://cjbme.csbme.org/EN/Y2014/V33/I5/513

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