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Proceedings Paper

Local vector space operators for detection of differences in images under varying illumination
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Paper Abstract

In this paper we define operators based on local vector space representation for detecting changes in images when the illumination of the scenes varies. The difference image contains information from objects not present in original images. Most change image detection algorithms assume that the illumination of a scene will remain invariable. But when the illumination conditions of a scene cannot be controlled, image processing algorithms must be adapted. Here we propose methods based on a local vector model when the illumination of a scene may vary locally and when no knowledge about the illumination parameters is available. We evaluate three operators for image difference independently of local changes of intensity. In addition, all difference local operators are defined in terms of correlations which can be useful for optical implementations using conventional Vander Lugt or joint transform correlators.

Paper Details

Date Published: 5 May 2010
PDF: 9 pages
Proc. SPIE 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications, 77231I (5 May 2010); doi: 10.1117/12.853919
Show Author Affiliations
Pascuala García-Martínez, Univ. de València (Spain)
Henri H. Arsenault, Univ. Laval (Canada)
Abdellatif Gherabi, Univ. Laval (Canada)
Carlos Ferreira, Univ. de València (Spain)


Published in SPIE Proceedings Vol. 7723:
Optics, Photonics, and Digital Technologies for Multimedia Applications
Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal; Frédéric Truchetet; Pasi Saarikko, Editor(s)

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