We introduce a method for change detection under nonuniform changes of intensity using an improved least-squares method. A locally adaptive normalizing window is correlated with the two images, and a morphological postprocessing is then applied to isolate objects that have been added or removed from the scene. We use a modification of the least-squares solution to get rid of clutter caused by intensity changes that do not satisfy the model assumed for the least-squares solution.
© 2007 Optical Society of America
Original Manuscript: July 5, 2007
Revised Manuscript: September 7, 2007
Manuscript Accepted: October 9, 2007
Published: November 6, 2007
Abdellatif Gherabi, Henri H. Arsenault, and Pascuala García-Martínez, "Improved locally adaptive least-squares detection of differences in images," Opt. Lett. 32, 3302-3304 (2007)