PATCH-BASED MARKOVMODELS FOR CHANGE DETECTION IN IMAGE SEQUENCE ANALYSIS - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2008

PATCH-BASED MARKOVMODELS FOR CHANGE DETECTION IN IMAGE SEQUENCE ANALYSIS

Abstract

Change detection between two images is challenging and needed in a wide variety of imaging applications. Several approaches have been yet developed, especially methods based on difference image. In this paper, we propose an original patch-based Markov modeling framework to detect spatial irregularities in the difference image with low false alarm rates. Experimental results show that the proposed approach performs well for change detection, especially for images with low signal-to-noise ratios.
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Dates and versions

hal-00919698 , version 1 (17-12-2013)

Identifiers

  • HAL Id : hal-00919698 , version 1

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Thierry Pécot, Charles Kervrann. PATCH-BASED MARKOVMODELS FOR CHANGE DETECTION IN IMAGE SEQUENCE ANALYSIS. LNLA - International Workshop on Local and Non-Local Approximation in Image Processing - 2008, Aug 2008, Lausanne, Switzerland. ⟨hal-00919698⟩

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