6533b827fe1ef96bd1286ed6

RESEARCH PRODUCT

Edge detection insensitive to changes of illumination in the image

Francesc AràndigaBasarab MateiAlbert CohenRosa Donat

subject

Nonlinear systembusiness.industrySignal ProcessingPiecewiseWavelet transformComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceInvariant (mathematics)businessThresholdingEdge detectionMathematics

description

In this paper we present new edge detection algorithms which are motivated by recent developments on edge-adapted reconstruction techniques [F. Arandiga, A. Cohen, R. Donat, N. Dyn, B. Matei, Approximation of piecewise smooth functions and images by edge-adapted (ENO-EA) nonlinear multiresolution techniques, Appl. Comput. Harmon. Anal. 24 (2) (2008) 225-250]. They are based on comparing local quantities rather than on filtering and thresholding. This comparison process is invariant under certain transformations that model light changes in the image, hence we obtain edge detection algorithms which are insensitive to changes in illumination.

yearjournalcountryeditionlanguage
2010-04-01Image and Vision Computing
https://doi.org/10.1016/j.imavis.2009.09.002