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

Edge type-selectable active contour using local regional information on extendable search 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
$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)
Phumeechanya, S. ; Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand ; Pluempitiwiriyawej, C. ; Thongvigitmanee, S.

In this paper, we propose a novel active contour method that selects the desirable object based on its edge type. Our method is an extension of the local regional active contour with extendable search lines (LRES). However, we have added to it an ability to look for a particular edge type. To search for the object boundary, the method uses the intensity profile along search lines that are normal to the contour front. The length of these search lines is gradually extended until the object boundary is found. In this paper, we utilize the sign of the difference between the intensity profiles along the search line that are inside and outside the contour as a switching parameter in order to manage the forces that are to drive the contour toward the object with desirable edge type. With the same initial contour, our novel active contour can move toward different objects in the image by setting the edge type parameter. We compare the performance of our edge type selective LRES method to other existing selectable edge type active contour. The results show that our method provides more desirable segmentation outcomes, particularly on some images where other method may fail. Not only is our method robust to noise and able to reach into a deep concave shape, it also has a large capture range and performs well in selecting the object of desirable edge type within the image with the same initial contour.

Published in:

Image Processing (ICIP), 2010 17th IEEE International Conference on

Date of Conference:

26-29 Sept. 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.