中文摘要：

借鉴视觉系统的轮廓感知能力,提出了一种基于视觉神经计算模型的图像边缘检测新方法.首先构建以动态突触互连的双层神经元网络;接着建立了一种基于突触前神经元响应模式的脉冲传递模型,利用神经元的脉冲发放时空模式来凸显边缘空间信息;最后通过发放率灰度映射获取图像边缘信息.以包含较多弱对比度边缘的微生物显微图为例,以信息熵、边缘置信度和重构相似度做定量分析,结果表明所提方法能够有效实现弱对比度边缘检测,为视觉机制在图像处理中的应用提供崭新的思路.

英文摘要：

Learning from the contour perception ability of the visual system,a new method of image edge detection based on the visual neural computing model was proposed.Firstly,a double-layer neu-ronal network with dynamic chemical synapses was constructed.Then,an impulse transmission model based on the response pattern of presynaptic neuron was built,which used the temporal and spatial pattern of the neuron impulse firing to highlight the edge space information.Finally,the edge infor-mation of an image was acquired by use of the map between the firing rate and the gray scale.Taking the micrograph containing weak edge information for example and taking the information entropy, edge confidence and reconstruction similarity as the evaluation index,the result of quantitative analy-sis shows that the new method can detect the edge information with weak contrast effectively and pro-vide a new idea for the application of image processing in the visual system.