By Topic

Maximum entropy thresholding segmentation research in 3D 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

3 Author(s)
Li Mingdong ; China West Normal Univ., Nanchong, China ; Peng Ding ; Xing Ziyang

Aiming at the problems such as long executive time, and extremal extreme extremely complex when using image segmentation method to seek Threshold,a novel 3D maximum entropy image segmentation method is proposed, which uses the threshold of 3D image of the global search space, and takes the gray scale value of prixel and the gray scale mean value of region corresponding to 3D maximum entropy value as the threshold for image segmentation. The experimental results show this method has some advantage in aspects of executive time and astringency.

Published in:

Advanced Computer Control (ICACC), 2010 2nd International Conference on  (Volume:5 )

Date of Conference:

27-29 March 2010