Application of independent component analysis to edge detection

被引：0

作者：

Hornillo-Mellado, S ^{[1
]}

Martín-Clemente, R ^{[1
]}

Acha, JI ^{[1
]}

Puntonet, CG ^{[1
]}

机构：

[1] Univ Seville, Seville, Spain

来源：

Intelligent Automations and Control: Trends Principles, and Applications, Vol 16 | 2004年 / 16卷

关键词：

ICA; edge detection; human visual system; digital image processing;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：75 / 80

页数：6

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