By Topic

Image edge detection based on fuzzy weighted morphological filter

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

1 Author(s)
Lihui Jiang ; Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, 300300, China

A novel fuzzy weighted morphological filter is proposed for image edge detection, which based on weighted morphological operators and fuzzy morphological structuring elements (SE). It divided the filter window into four sub-windows, and selects the least variance sub-window and its mean of pixels is given. If the difference value between the pixel value and the mean is small, a big weight factors in SE is put; if the difference value is big, a small weight factors in SE is put. Experimental results prove that the new operators' performance dominates those of classical operators for images in edge detection, and obtains superbly detail edges.

Published in:

2009 International Conference on Machine Learning and Cybernetics  (Volume:2 )

Date of Conference:

12-15 July 2009