传感技术学报2025，Vol.38Issue(7)：1222-1228,7.DOI:10.3969/j.issn.1004-1699.2025.07.011
基于M和P双通路平行机制的图像轮廓提取
Image Contour Extraction Based on M and P Parallel Pathway Mechanism
摘要
Abstract
Inspired by the biological visual information processing mechanism,a new method for image contour extraction is proposed to address the issue of incomplete contour extraction.Firstly,a brightness gain model is constructed to simulate the light sensing character-istics of the retinal horizontal cells,which enhances the image detail features.Secondly,a brightness-contrast feature extraction model is constructed to suppress texture information by simulating the processing of brightness information in the M pathway,combining the prop-erties of fixational eye movements and dynamic neural coding.Additionally,the color contour information is extracted by simulating the color processing mechanism of the center-surround receptive fields in the P pathway.Finally,the parallel channel information from the M and P pathways is integrated by simulating the feature information fusion mechanism in the V1 primary visual cortex,to achieve com-plete contour feature extraction.The proposed method is evaluated on the BSDS500 and BIPED datasets,and the best average P indica-tors for a single image are 0.42 and 0.50,respectively,indicating that the proposed method is effective in suppressing texture noise and extracting contour features.Based on the biological visual information processing mechanism,the proposed contour processing model can extract image contours completely and has strong interpretability,providing a new approach for the application of visual mechanisms in image processing or understanding.关键词
轮廓提取/视通路/亮度自适应/感受野/初级视皮层Key words
contour extraction/visual pathway/luminance adaptation/receptive field/primary visual cortex分类
信息技术与安全科学引用本文复制引用
房涛,肖牛元虎,蔡哲飞,武薇,范影乐..基于M和P双通路平行机制的图像轮廓提取[J].传感技术学报,2025,38(7):1222-1228,7.基金项目
杭州市重点科研计划项目(2023SZD0073) （2023SZD0073）
