Journal
COMPUTER VISION AND IMAGE UNDERSTANDING
Volume 102, Issue 1, Pages 42-51Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.cviu.2005.06.005
Keywords
Radon transform; distance transform; shape representation; shape recognition
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This paper presents a novel approach to identify complex shapes based on the Radon transform. We propose all adaptation of Radon transform called R-transform, which is invariant to common geometrical transformations. Moreover, to improve the uniqueness of the approach, a binary shape is projected into the Radon space for different levels of the Chamfer distance transform. The accuracy and the efficiency of the proposed algorithm in the presence of a variety of transformations are evaluated within a shape recognition process. (c) 2005 Elsevier Inc. All rights reserved.
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