Fuzzy snakes

Höwing, F.; Wermser, D and Dooley, L. S. (1997). Fuzzy snakes. In: Institution of Electrical Engineers ed. Image processing and its applications. IEE Conference Proceedings, 2 (443). London: Institution of Electrical Engineers, pp. 627–630.

DOI: https://doi.org/10.1049/cp:19970970

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...

Abstract

A new method for representing and tracking of object boundaries is presented, which allows for the integration of uncertain a priori knowledge into an active contour model. The new fuzzy snake allows for an intuitive specification of the properties of an object's boundary. This is obtained by setting up a linguistic rule base, which describes each of the fuzzy snake's segments. Furthermore the approximate length of each contour segment may be specified to improve the segmentation process and to reduce the computational complexity.

Viewing alternatives

Metrics

Item Actions

Export

You can export this page using these formats Digital Object Identifier - DOI

About

• Item ORO ID
• 16637
• Item Type
• Book Section
• ISBN
• 0-85296-692-X, 978-0-85296-692-1
• ISSN
• 0537-9989
• Extra Information
• Image processing and its applications, 6th international conference; Trinity College, Dublin, Republic of Ireland; 14-17 July 1997; Note: The Institution of Electrical Engineers has merged to become the Institution of Engineering and Technology (IET)
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Related URLs
• • http://www.theiet.org(Other)
• Depositing User
• Laurence Dooley