基于主视通路结构分级响应模型的轮廓检测方法

A Contour Detection Method Based on Hierarchical Structure Response Model in Primary Visual Pathway

基于视通路结构分级响应与动态传递的方式,本文提出了一种图像轮廓检测的新方法.针对视网膜感光细胞的暗视觉特性,建立亮度自适应的暗视野调节模型,利用多尺度经典感受野的方位选择性,构建高级轮廓与全局轮廓的检测路径;模拟外侧膝状体(Lateral geniculate nucleus,LGN)细胞特性对信息进行纹理稀疏编码,并结合非经典感受野的侧抑制作用抑制背景强纹理;另外在LGN区提出微动整合机制,减少纹理冗余信息,再经适应性突触实现信息关联传递;最后将初级轮廓响应跨视区前馈至V1区并经全局轮廓修正后,与高级轮廓响应实现快速融合.分别以RuG40、BSDS500图像库中的自然图像作为实验数据,检测结果与基准轮廓图的平均最优P指标分别为0.50、0.32,结果表明本方法能更有效地区分轮廓与纹理边缘,凸显主体轮廓.本文利用视神经细胞的内在机制以及神经信息的动态传递过程实现图像轮廓信息的编码与检测,也为研究后续高级视皮层的视觉感知提供了新思路.

Based on the hierarchical response and dynamic transmission of the visual path structure,this paper proposes a new method of image contour detection.Aiming at the dark vision characteristics of retinal photoreceptor cells,a brightness-adaptive dark field adjustment model was established,and the orientation selectivity of multiscale classical receptive fields was used to construct the detection path of advanced contours and global contours;the characteristics of lateral geniculate nucleus(LGN)cells were simulated to sparse the information,combined with the side inhibition of non-classical receptive fields to suppress strong background textures;in addition,a micro-motion integration mechanism is proposed in the LGN region to reduce redundant texture information,and then the information is transmitted through adaptive synapses;finally,the primary contour response is transmitted across the view area is fed forward to the V1 area and global contour correction is performed,it quickly integrates with the advanced contour response.The natural images in the RuG40 and BSDS500 image libraries are used as experimental data.The average optimal P indicators of the detection results and the reference contour map are 0.50 and 0.32,respectively.The results show that this method can more effectively distinguish contours from textured edges and highlight the contours of the subject.This paper uses the inner mechanism of optic nerve cells and the dynamic transmission process of neural information to realize the encoding and detection of image contour information.It also provides new ideas for studying the subsequent visual perception of advanced visual cortex.