By Topic

New corner detection algorithm by tangent and vertical axes and case table

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)
Soo-Chang Pei ; Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan ; Jian-Jiun Ding

In this paper, we introduce a new algorithm for corner detection. Instead of calculating the gradients along x and y-axes, which is the common step of many existed algorithms, we use the sum of differences to observe the variations along the adaptive vertical and tangent axes. We classify the variations into 36 types and use the 'case table' to determine whether a pixel is a corner. We do some experiments and show that our algorithm can detect almost all the corners of a complicated natural image (such as Lena image and Fruit image) successfully. In addition to corner detection, it is also possible to use our algorithm to detect the edges, ridges, valleys, isolated dots, saddles, and plain regions of a natural image.

Published in:

Image Processing, 2005. ICIP 2005. IEEE International Conference on  (Volume:1 )

Date of Conference:

11-14 Sept. 2005