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 :
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