DocumentCode
1649218
Title
Saliency map model based on the edge images of natural scenes
Author
An, Kwang-Hwan ; Lee, Minho ; Shin, Jang-Kyoo
Author_Institution
Sch. of Electron. & Electr. Eng., Kyungpook Nat. Univ., Taegu, South Korea
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1023
Lastpage
1027
Abstract
In this paper, we propose a new saliency map model to find a saliency point based on an edge image rather than a complex natural scene. We use independent component analysis to find a filter that can generate a saliency point from edge information with a gray scale. Computer experimental results show that the proposed saliency map model successfully generates the saliency points, of which the results are very considerable
Keywords
edge detection; filtering theory; neural nets; ICA; edge images; filter; gray scale; independent component analysis; natural scenes; neural nets; saliency map model; Computer vision; Detectors; Electronic mail; Humans; Intelligent sensors; Layout; Machine vision; Retina; Signal processing; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1005616
Filename
1005616
Link To Document