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Technical Program
Paper Detail
| Paper: | MP-P1.2 |
| Session: | Edge Detection and Image Segmentation |
| Time: | Monday, October 9, 14:20 - 17:00 |
| Presentation: |
Poster
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| Title: |
CONTOUR DETECTION BY MULTIRESOLUTION SURROUND INHIBITION |
| Authors: |
Giuseppe Papari; University of Groningen | | | | | Patrizio Campisi; Università degli studi di Roma TRE | | | | | Nicolai Petkov; University of Groningen | | | | | Alessandro Neri; Università 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. |
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