传感技术学报2024，Vol.37Issue(2)：288-296,9.DOI:10.3969/j.issn.1004-1699.2024.02.013
基于信息流多级结构响应的轮廓检测模型
Contour Detection Model Based on Multi-Level Structural Response of Information Flow
摘要
Abstract
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.关键词
轮廓检测/视觉机制/信息流分层响应/三重感受野/突触动态编码Key words
contour detection/visual mechanism/information flow layered response/triple receptive field/synapse dynamic coding分类
信息技术与安全科学引用本文复制引用
李健,范影乐..基于信息流多级结构响应的轮廓检测模型[J].传感技术学报,2024,37(2):288-296,9.基金项目
国家自然科学基金项目(61501154) （61501154）
