By Topic

Color texture feature selection by MIFS for image classification

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)
Maia, H.E. ; LRIT Unite associe au, Univ. Mohammed V-Agdal, Rabat, Morocco ; Hammouch, A. ; Bakrim, M.

The work presented in this article consists in evaluating the contribution of the use of a texture-color combination in forest mapping. We transform a Spot image into different color spaces, then we extract nine parameters using Laws filter. The resulting set of parameters is reduced using MIFS algorithm based on mutual information. The results are promising and give satisfying classification results.

Published in:

I/V Communications and Mobile Network (ISVC), 2010 5th International Symposium on

Date of Conference:

Sept. 30 2010-Oct. 2 2010