By Topic

On Building a Hierarchical Region-Based Representation for Generic Image Analysis

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

2 Author(s)
Veronica Vilaplana ; Technical University of Catalonia (UPC), Barcelona, Spain. ; Ferran Marques

This paper studies the procedure to create a hierarchical region-based image representation aiming at generic image analysis. This study is carried out in the context of bottom-up segmentation algorithms and, specifically, using the Binary Partition Tree implementation. The different steps necessary to create a hierarchical region-based representation are analyzed; namely, (i) the creation of the initial partition in the hierarchy, which is split into the definition of the initial merging criterion and the proposal of a stopping criterion, and (ii) the merging criteria used to produce the different regions in the final hierarchical representation. For both steps, the proposed approach is assessed and compared with previous existing ones over a large data set using well-established partition-based metrics.

Published in:

2007 IEEE International Conference on Image Processing  (Volume:4 )

Date of Conference:

Sept. 16 2007-Oct. 19 2007