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Proceedings Paper

Locally adaptive detection of differences in images
Author(s): Henri H. Arsenault; Abdellatif Gherabi; Pascuala Garcia-Martinez
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Paper Abstract

We introduce a method for unsupervised change detection under non-uniform changes of intensity. A locally adaptive normalizing window is correlated with the two images, and a morphological processing is then applied to isolate objects that have been added or removed from the scene. The multiplicative model used represent well image changes of intensity when the locations of the light sources is unchanged between images, but when the illuminating source changes location between exposures, the model depends on the geometry of the surroundings. Computer simulations show that the method works well when the model is satisfied. An example of detection of camouflaged targets is presented. In real images with light sources changed, artifacts are introduced in the difference image. Results from images taken with a web camera are shown.

Paper Details

Date Published: 24 August 2006
PDF: 8 pages
Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 631201 (24 August 2006); doi: 10.1117/12.682648
Show Author Affiliations
Henri H. Arsenault, Univ. Laval (Canada)
Abdellatif Gherabi, Univ. Laval (Canada)
Pascuala Garcia-Martinez, Univ. de València (Spain)


Published in SPIE Proceedings Vol. 6312:
Applications of Digital Image Processing XXIX
Andrew G. Tescher, Editor(s)

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