Cart (Loading....) | Create Account
Close category search window

Spectral clustering for sonar image segmentation using morphological wavelet and gray level transformation

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)
Shi Hong ; Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China ; Zhao Chun-hui ; Shen Zheng-yan

Spectral clustering algorithm has been used successfully in the domain of image processing except for sonar image segmentation. It cannot capture the sonar target accurately because the sonar image often has ambiguous object edge, extremely complex noisy background and critical shadow impact. In this paper, a new spectral clustering segmentation method base on morphological wavelet and gray level transformation was proposed. Firstly, a morphological midpoint wavelet which can do the image denoising effectively and make the object edge more clearly was constructed to enhance the sonar image; secondly, the gray level threshold transformation was used to remove the shadows of sonar image and the threshold was automatically obtained by the average iteration method; finally, constructed a new spectral clustering segmentation system for sonar image. The simulation experimental results demonstrate that the proposed method was more suitable for sonar image segmentation than the standard spectral clustering segmentation method.

Published in:

Computer Science and Education (ICCSE), 2010 5th International Conference on

Date of Conference:

24-27 Aug. 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.