ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:MP-P1.2
Session:Edge Detection and Image Segmentation
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Topic: Image & Video Segmentation: Edge or color segmentation
Title: CONTOUR DETECTION BY MULTIRESOLUTION SURROUND INHIBITION
Authors: Giuseppe Papari; University of Groningen 
 Patrizio Campisi; Universit√† degli studi di Roma TRE 
 Nicolai Petkov; University of Groningen 
 Alessandro Neri; Universit√† degli studi di Roma TRE 
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 the 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 contours map is obtained by a contour selection criterion that has been proved to be more effective than the classical hysteretic thresholding. Robustness to noise is achieved by a Bayesian gradient estimation.