By Topic

An iterative strategy to approach corners using a new saliency measurement

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)
Lihong Ma ; GD Key Lab of Wireless Network and Devices, School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China ; Xingjun Tan ; Jing Tian

In this paper we propose a novel corner detection algorithm using local adaptive thresholding and iterative approaching. First, a new metric is defined to measure the saliency of the corner responses within a local region. With this metric, the task to find corner points is transformed into a task to find those regions with high saliency of corner responses. Then an iterative strategy is adopted to gradually narrow down these regions and finally approaching the actual positions of true corners. We demonstrate that the proposed algorithm is equivalent to a local adaptive thresholding method and thus can effectively suppress edge points. Experiments show that both its false detection rate and miss detection rate are lower than those of Noble detector, and its average detection accuracy is higher than the latter by 3.58%.

Published in:

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Date of Conference:

22-27 May 2011