By Topic

Rθ-signature: A new signature based on Radon Transform and its application in buildings extraction

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)
Rojbani, H. ; Lab. of Comput. in Program., Algorithmic & Heuristic/Image, Fac. of Sci. of Tunis, Tunis, Tunisia ; Elouedi, I. ; Hamouda, A.

Object recognition has been a topic of research for decades, it operates by making decisions based on the values of several shape properties measured from an image of the object. In this paper, a new exploitation of the Radon Transform (RT) is proposed to extract only one projection according to a single angle. This projection is chosen in way that contains the necessary information to recognize an object (a shape descriptor). This descriptor (called Rθ-signature) provides global information of a binary shape regardless its form. After that, we use this signature in an extraction method of buildings from very high-resolution satellite imagery.

Published in:

Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on

Date of Conference:

14-17 Dec. 2011