DocumentCode
436148
Title
Application of independent component analysis to edge detection
Author
Hornillo-Mellado, S. ; Martin-Clemente, R. ; Acha, J.I. ; Puntonet, C.G.
Author_Institution
University of Seville, Spain
Volume
16
fYear
2004
fDate
June 28 2004-July 1 2004
Firstpage
75
Lastpage
80
Abstract
It has been shown that a typical Independent Component Analysis (ICA) of an image provides a good estimation for the responses of the neurons of the visual cortex and their patterns of excitation. In this paper we apply ICA to obtain a decomposition of the image into a set of basis or features. These particular features can be used to develop a new algorithm for detecting the edges of the image. The performance of the proposed approach is demonstrated experimentally.
Keywords
Biomedical engineering; Brain modeling; Digital images; Equations; Humans; Image edge detection; Image segmentation; Independent component analysis; Layout; Visual system; ICA; digital image processing; edge detection; human visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Congress, 2004. Proceedings. World
Conference_Location
Seville
Print_ISBN
1-889335-21-5
Type
conf
Filename
1438635
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