By Topic

Edge Detection Based on Fusion of Wavelet Transform and Mathematical Morphology

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

2 Author(s)
Wenjuan Zhang ; Sch. of Comput. Eng., Huaihai Inst. of Technol., Lianyungan, China ; Jiayin Kang

The key issue of edge detection is to filter more noises while obtaining more edge details. This paper proposed a novel edge detection method based on the fusion of wavelet transform and mathematical morphology. Firstly, decompose image into high and low frequency parts via wavelet transform. Secondly, process the high and low frequency parts respectively: apply multi-scale wavelet transform to detect edge in high frequency part; and apply mathematical morphology to detect edge in low frequency part. Finally, merge the edge images using multi-scale edge fusion and extract the edge from merged edge image. Experimental results show that the proposed method has great effects in noise suppression and edge detail preserving compared with that of wavelet transform based or mathematical morphology based edge detection method.

Published in:

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Date of Conference:

19-20 Dec. 2009