计算机工程与应用2018，Vol.54Issue(5)：200-205,6.DOI:10.3778/j.issn.1002-8331.1709-0131
基于V1细胞特性的边缘检测
Edge detection based on characteristic of V1 cells
摘要
Abstract
As for balancing the accuracy of edge detection and the difficulty of anti-noise performance,and referring to the dynamic and static perceptions of the primary Visual cortex(V1)cells,this paper proposes an orientation selectivity V1 model which is applied to image edge detection.Spatio temporal filters are adopted to simulate the receptive fields of the V1 simple cell.The response of simple cells is obtained by using the energy model and normalization to get the V1 cells model.Thus the natural image edge is detected by using static perception of V1 cells.Simulation results show that the V1 model can basically fit the biological data and has the universality of biology.What's more,compared with the traditional edge detection operators,the proposed model is more effective and has better robustness.Based on the biological experimental results,this paper constructs a biological vision model and applies it to image processing,which makes a helpful exploration to the fusion of biological vision and computer vision.关键词
初级视皮层/细胞模型/边缘检测/时空滤波器/感受野/生物视觉Key words
primary visual cortex/cell model/edge detection/spatiotemporal filter/receptive field/biological vision分类
信息技术与安全科学引用本文复制引用
朱明明,许悦雷,张旭蕾,马时平,吕超,辛鹏,邹洪中,马红强..基于V1细胞特性的边缘检测[J].计算机工程与应用,2018,54(5):200-205,6.基金项目
国家自然科学基金(No.61372167,No.61379104). （No.61372167,No.61379104）
