DocumentCode
468438
Title
Selective Attention Guided Contour Extraction for Perceptual Grouping
Author
Zhong, Jingjing ; Luo, Siwei ; Zou, Qi
Author_Institution
Beijing Jiaotong Univ., Beijing
Volume
1
fYear
2007
fDate
29-31 Oct. 2007
Firstpage
492
Lastpage
495
Abstract
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.
Keywords
edge detection; feature extraction; visual perception; edge detection cue; human visual system; image pixel salient value; perceptual grouping; selective attention guided contour extraction; Artificial intelligence; Brightness; Convolution; Data mining; Filters; Image edge detection; Image segmentation; Information technology; Pixel; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location
Patras
ISSN
1082-3409
Print_ISBN
978-0-7695-3015-4
Type
conf
DOI
10.1109/ICTAI.2007.153
Filename
4410325
Link To Document