Image change detection using copulas

Xuexing Zeng, T.S. Durrani

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

This paper explores a new class of measures for the detection of changes in images, specially for images acquired from different classes of sensors such as synthetic aperture radar (SAR) systems or computerized axial tomography (CAT) systems, monitoring patients. The problems become very challenging as the local statistics may be different even though the observations in the images may be similar. By exploiting this similarity new approaches are proposed for change detection. Based on the assumption that some form of dependence exists between the images, this dependence can be modeled by copulas. By using the conditional copula and the second image to simulate the distribution of first image, the dependence between the two images may be more closely modeled by the ensuing joint distribution. As a follow on, the symmetrical Kullback-Leibler distance can be used to obtain the change indicator between the distributions associated with the two images. In this paper the conditional copula is used as a change detector and applied to scenes from two distinct and different image families -SAR and CAT, and its performance compared with that of conventional change detection algorithms, based on a pixel based difference measure and on local pixel statistics.
LanguageEnglish
Title of host publication9th International Conference on Signal Processing, 2008
PublisherIEEE
Pages909-913
Number of pages4
ISBN (Print)978-1-4244-2178-7
DOIs
Publication statusPublished - Oct 2008

Fingerprint

tomography
pixel
synthetic aperture radar
detection
monitoring system
sensor
distribution
statistics
indicator
detector
family

Keywords

  • computerised tomography
  • medical image processing
  • object detection
  • patient monitoring
  • synthetic aperture radar
  • computerized axial tomography
  • copulas
  • image change detection
  • symmetrical Kullback-Leibler distance

Cite this

Zeng, X., & Durrani, T. S. (2008). Image change detection using copulas. In 9th International Conference on Signal Processing, 2008 (pp. 909-913). IEEE. https://doi.org/10.1109/ICOSP.2008.4697275
Zeng, Xuexing ; Durrani, T.S. / Image change detection using copulas. 9th International Conference on Signal Processing, 2008. IEEE, 2008. pp. 909-913
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Zeng, X & Durrani, TS 2008, Image change detection using copulas. in 9th International Conference on Signal Processing, 2008. IEEE, pp. 909-913. https://doi.org/10.1109/ICOSP.2008.4697275

Image change detection using copulas. / Zeng, Xuexing; Durrani, T.S.

9th International Conference on Signal Processing, 2008. IEEE, 2008. p. 909-913.

Research output: Chapter in Book/Report/Conference proceedingChapter

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AB - This paper explores a new class of measures for the detection of changes in images, specially for images acquired from different classes of sensors such as synthetic aperture radar (SAR) systems or computerized axial tomography (CAT) systems, monitoring patients. The problems become very challenging as the local statistics may be different even though the observations in the images may be similar. By exploiting this similarity new approaches are proposed for change detection. Based on the assumption that some form of dependence exists between the images, this dependence can be modeled by copulas. By using the conditional copula and the second image to simulate the distribution of first image, the dependence between the two images may be more closely modeled by the ensuing joint distribution. As a follow on, the symmetrical Kullback-Leibler distance can be used to obtain the change indicator between the distributions associated with the two images. In this paper the conditional copula is used as a change detector and applied to scenes from two distinct and different image families -SAR and CAT, and its performance compared with that of conventional change detection algorithms, based on a pixel based difference measure and on local pixel statistics.

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Zeng X, Durrani TS. Image change detection using copulas. In 9th International Conference on Signal Processing, 2008. IEEE. 2008. p. 909-913 https://doi.org/10.1109/ICOSP.2008.4697275