Skip to main content
DORAS
DCU Online Research Access Service
Login (DCU Staff Only)
Image segmentation evaluation using an integrated framework

McGuinness, Kevin ORCID: 0000-0003-1336-6477, Keenan, Gordon, Adamek, Tomasz and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 (2007) Image segmentation evaluation using an integrated framework. In: VIE 2007 - the IET 4th International Conference on Visual Information Engineering, 25-27 July 2007, London, UK.

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
340kB

Abstract

In this paper we present a general framework we have developed for running and evaluating automatic image and video segmentation algorithms. This framework was designed to allow effortless integration of existing and forthcoming image segmentation algorithms, and allows researchers to focus more on the development and evaluation of segmentation methods, relying on the framework for encoding/decoding and visualization. We then utilize this framework to automatically evaluate four distinct segmentation algorithms, and present and discuss the results and statistical findings of the experiment.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Image Segmentation; Video Signal Processing; Segmentation Evaluation; Software Package;
Subjects:Engineering > Signal processing
Computer Science > Information retrieval
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Official URL:http://conferences.iee.org/vie2007/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Commission FP6-027026
ID Code:270
Deposited On:10 Mar 2008 by DORAS Administrator . Last Modified 24 Jan 2019 15:01

Downloads

Downloads per month over past year

Archive Staff Only: edit this record

  • Student Email
  • Staff Email
  • Student Apps
  • Staff Apps
  • Loop
  • Disclaimer
  • Privacy
  • Contact Us