By Topic

Application of the enhancement algorithm based on fuzzy set theory in monitoring high-voltage transmission lines

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

2 Author(s)
Haitao Guo ; Electrical Engineering College, Northeast Dianli University, Jilin, China ; Ruili Song

This paper expatiates on the principle, process and key technique of the enhancement algorithm based on fuzzy set theory. In the algorithm, the critical point gc is determined via the Otsu algorithm based on the two-dimensional histogram, and then the fuzzy set of an image is determined via the exponential function, and then the fuzzy set is transformed for enhancement via a recursive operator, and eventually the enhanced image is attained via an inverse transformation from the transformed fuzzy set. Acting as an application to the image of high-voltage transmission lines, the experimental results of not only the transformation of histogram equalization but also the expatiated algorithm are given. The experimental results show the latter is more efficient than the former. One of main characteristics in the expatiated algorithm is that gc is determined via the Otsu algorithm based on the two-dimensional histogram instead of the others.

Published in:

The 2nd International Conference on Information Science and Engineering

Date of Conference:

4-6 Dec. 2010