Edge detection insensitive to changes of illumination in the image

Authors:
F. Arandiga;A. Cohen;R. Donat;B. Matei
Affiliations:
Departament de Matemítica Aplicada, Universitat de València, C/ Dr. Moliner, 50, 46100 Burjassot, Spain;UPMC Univ Paris 06, UMR 7598, Laboratoire Jacques-Louis Lions, F-75005, Paris, France and CNRS, UMR 7598, Laboratoire Jacques-Louis Lions, F-75005, Paris, France;Departament de Matemítica Aplicada, Universitat de València, C/ Dr. Moliner, 50, 46100 Burjassot, Spain;Laboratoire Analyse Géométrie et Applications, Institut Galilée Université Paris Nord, 99, Avenue Jean-Baptiste Clément, 93430 Villetaneuse, France
Venue:
Image and Vision Computing
Year:
2010

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Abstract

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.