By Topic

Aerial image analysis using fractal-based models

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

3 Author(s)
Chenoweth, D.L. ; Comput. Sci. & Eng. Program, Louisville Univ., KY, USA ; Cooper, B.E. ; Selvage, J.E.

The fractal dimension and variants of the fractal dimension have been used to analyze visual textures in images, and the vast majority of research assumes that the fractal model closely approximates the observed image. However, the difference between the image and the assumed fractal model can be significant, and it can provide useful information about image texture. In fact, this fractal error can itself serve as a texture descriptor. A localized version of fractal error is developed and used for image segmentation. The fractal error is examined as a potential texture feature within the context of segmentation of aerial reconnaissance images. Accuracy on the order of 85 percent was demonstrated in three typical examples

Published in:

Aerospace Applications Conference, 1995. Proceedings., 1995 IEEE

Date of Conference:

4-11 Feb 1995