摘要
主观轮廓是一种重要的视觉心理现象,体现了人类视觉惊人的感知修复能力。提出了一种基于视觉竞争-合作机制的主观轮廓提取方法。该方法通过DOG滤波器组、合作滤波器组和张量投票等方法分别模拟视觉系统中的简单细胞有向滤波、双极细胞合作滤波和终端截断后端点重组等主观轮廓形成过程。实验结果表明,该方法能够比较有效地利用视觉系统的竞争-合作机制处理两类比较经典的主观轮廓图形。
Recognizing subjective contour figures is an intrinsic capability of human vision and an important visual psychological phenomenon. This paper presents a computation approach for subjective contour which utilized the cooperation-competition mechanism of biological vision system. The goal is to simplify the neural-computing of biological vision process modeled in the Boundary Contour System of FACADE （ Form and Color and Depth） theory, and to extract subjective contour in a new way. The procedure consists of DOG filtering, cooperative filtering, post-processing of cooperative cues and regrouping of endpoints, corresponding to the oriented edge filtering by simple cells, cooperative filtering by bipole cells and end-stop effect formulated by hypercomplex cells in biological vision system respectivly. As shown by experimental results, this approach is efficient to process both kinds of classic subjective contour figures, the collinear completion information and endpoints.
出处
《中国图象图形学报》
CSCD
北大核心
2005年第8期1024-1028,共5页
Journal of Image and Graphics
