Performance Analysis of Homomorphic Systems for Image Change Detection | Zendy

Gonzalo Pájares | Zendy; José J. Ruz | Zendy; Jesús Manuel de la Cruz García | Zendy

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Performance Analysis of Homomorphic Systems for Image Change Detection

Author(s) -

Gonzalo Pájares,

José J. Ruz,

Jesús Manuel de la Cruz García

Publication year - 2005

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-26153-2

DOI - 10.1007/11492429_68

Subject(s) - homomorphic filtering , computer science , homomorphic encryption , computer vision , image (mathematics) , component (thermodynamics) , artificial intelligence , reflectivity , change detection , image enhancement , optics , encryption , physics , thermodynamics , operating system

Under illumination variations image change detection becomes a difficult task. Some existing image change detection methods try to compensate this effect. It is assumed that an image can be expressed in terms of its illumination and reflectance components. Detection of changes in the reflectance component is directly related to scene changes. In general, scene illumination varies slowly over space, whereas the reflectance component contains mainly spatially high frequency details. The intention is to apply the image change detection algorithm to the reflectance component only. The aim of this work is to analyze the performance of different homomorphic pre-filtering schemes for extracting the reflectance component so that the image change detection algorithm is applied only to this component. This scheme is not suitable for scenes without spatial high frequency details

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