Related Experiment Video
Updated: Jul 10, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Improved locally adaptive least-squares detection of differences in images
Abdellatif Gherabi1, Henri H Arsenault, Pascuala García-Martínez
1Department of Physics, Université Laval, Ste-Foy, QC, G1K 7P4, Canada.
Abstract:
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.
Related Concept Videos
Difference from Background: Limit of Detection
The LOD indicates the presence or absence...
Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
