@inproceedings{7fce4bd669484250ac8a42aa231b776a,
title = "Contour Detection by Multiresolution Surround Inhibition",
abstract = "In natural images, luminance changes occur both on object contours and on textures. Often, the latter are stronger than the former, thus standard edge detectors fail in isolating object contours from texture. To overcome this problem, we propose a multiresolution contour detector motivated by biological principles. At each scale, texture is suppressed by using a bipolar surround inhibition process. The binary contour map is obtained by a contour selection criterion that is more effective than the classical hysteresis thresholding. Robustness to noise is achieved by Bayesian gradient estimation.",
keywords = "edge, context, contour, surround suppression, texture, FIELD",
author = "Giuseppe Papari and Patrizio Campisi and Nicolai Petkov and Alessandro Neri",
note = "Relation: http://www.rug.nl/informatica/organisatie/overorganisatie/iwi Rights: University of Groningen. Research Institute for Mathematics and Computing Science (IWI); IEEE International Conference on Image Processing (ICIP 2006) ; Conference date: 08-10-2006 Through 11-10-2006",
year = "2006",
doi = "10.1109/ICIP.2006.312500",
language = "English",
isbn = "978-1-4244-0481-0",
series = "IEEE International Conference on Image Processing (ICIP)",
publisher = "IEEE",
pages = "749--752",
booktitle = "2006 International Conference on Image Processing",
}