Selective Attention Guided Contour Extraction for Perceptual Grouping
Jingjing Zhong, Siwei Luo, Qi Zou · 2007
Selective attention is an important mechanism in human visual system. Existing attention models concentrate on giving a series of sight transferring. In this paper, we extend selective attention to guide contour extraction prepared for perceptual grouping. Selective attention functions in two aspects. One is to compute each pixel's salient value in an image. The other is to extract salient contours. Compared with other contour extraction algorithms, our model gets better result when the same edge detect cue is used. Experiments and quantitative analysis testify our model's good performance contour extraction and contour grouping.