By Topic

Algorithm of image enhancement based on order morphology filtering and image entropy difference

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
$33 $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

4 Author(s)
Jian-Nan Chi ; Inst. of Artificial Intelligence & Robotics, Northeastern Univ., Sheng Yang, China ; Dong-Shu Wang ; Yong Duan ; Xin-He Xu

According to correlative conception and properties of order morphology transformation, a non-linear weighted mean value filter is constructed to remove high frequence noise such Gaussian and impulse noise. Then an approximated midpoint value filter, which can reject uniform distribution noise is given by improving the weighted mean value filter. Based on the above, a new image enhancement algorithm is proposed. In this algorithm, weighted mean value of the image about structuring elements of different directions is calculated and used to identify the edge of the image; local average value and image entropy difference is applied to control enhancement coefficients. So the target and edge of the image are elevated while high frequency noise of the image is restrained. A comparison of average value, standard deviation and image entropy between the enhanced image and its original illustrates that contrast of the image is also improved.

Published in:

2005 International Conference on Machine Learning and Cybernetics  (Volume:8 )

Date of Conference:

18-21 Aug. 2005