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IJCSNS International Journal of Computer Science and Network Security, VOL.6 No.2A, February 2006 169 Manuscript revised January 2006.
 

Summary: IJCSNS International Journal of Computer Science and Network Security, VOL.6 No.2A, February 2006 169
Manuscript revised January 2006.
Image retrieval based on RST-invariant features
Zhe-Ming Lu,
, Dan-Ni Li
, and Hans Burkhardt

University of Freiburg, Freiburg, Germany

Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China
Summary
In the application of content-based image retrieval, the ideal
characteristics should be invariance to geometrical
transformations. That is, once the image undergoes geometrical
transformations, we expect the features extracted from the image
are invariant. Thus, in this paper, rotation, scaling and translation
(RST) invariant features for image retrieval are investigated, and
a new method is proposed to extract these features. This method
performs log-polar transformations on images in order to convert
the scaling and rotation transformations to translation

  

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences