By Topic

Integrating Boundary Information in Pairwise Segmentation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Andrea Torsello ; Universita "Ca' Foscari" di Venezia, Italy ; Marco Di Gesu ; Marcello Pelillo

Proximity-based, or pairwise, data clustering techniques are gaining increasing popularity due to their versatility and their ability to easily integrate information of different nature. Despite this, most applications to image segmentation incorporate only region-based information, mainly color and texture similarity. In this paper we propose a general approach for integrating boundary information in a pairwise segmentation framework. To this end we propose a measure of distance between pair of pixels that integrates the value of an edge-response function along a path joining the two pixels. Experiments performed using the dominant sets framework show that the proposed approach is competitive with the state of the art pairwise segmentation algorithms even while using boundary information only. Furthermore, we show that the approach can effectively be used when adopting an out of sample approach to pairwise segmentation.

Published in:

Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on

Date of Conference:

10-14 Sept. 2007