By Topic

Peer groups, neighbor groups, and edge detection

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
$31 $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)
Munasinghe, R. ; Dept. of Math., West Virginia Univ. Inst. of Technol., Montgomery, WV, USA ; Davari, A.

Standard edge detectors such as Canny edge detector use a local gradient operator to find the ridges in digital images. In this study we show that peer groups and neighbor groups, a new measure introduced in this paper, can be used to improve the performance of gradient operators. Some of the pixels near the threshold are weaker edge pixels of the objects in the image and others are unimportant edges created by unevenness of the background. We find that peer groups and neighbor groups of these marginal pixels can be used to make a better decision regarding them than using a single rigid threshold value.

Published in:

System Theory (SSST), 2010 42nd Southeastern Symposium on

Date of Conference:

7-9 March 2010