By Topic

Multiscale relaxation labeling of fractal images

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)
Choate, J.A. ; Xyplex Corp., Boxborough, MA, USA ; Gennert, Michael A.

Multiscale relaxation labeling for segmentation of fractal images is described. The images used are of pavement distress, on which simple edge detection schemes perform poorly. Relaxation labeling is used to improve upon initial edge-based segmentation. A multiscale relaxation technique is used in a pavement distress detection system. To better model pixel interactions, nonlinear terms are included in the relaxation process. Symmetry arguments and careful engineering allow a 93% reduction in the complexity of this approach. To demonstrate the necessity of the multiscale approach, examples with and without multiscale relaxation are shown. It is found that performance is greatly improved by multiscale relaxation

Published in:

Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on

Date of Conference:

15-17 Jun 1993