Article ID Journal Published Year Pages File Type
526260 Computer Vision and Image Understanding 2006 10 Pages PDF
Abstract

This paper presents a novel approach to identify complex shapes based on the Radon transform. We propose an adaptation of Radon transform called R-transformR-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.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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