DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method

Abstract : In this paper, we present a method for pattern such as graphical symbol and shape recognition and retrieval. It is basically based on dynamic programming for matching the Radon features. The key characteristic of the method is to use DTW algorithm to match corresponding pairs of histograms at every projecting angle. This allows to exploit the Radon property to include both boundary as internal structure of shapes, while avoiding compressing pattern representation into a single vector and thus miss information, thanks to the DTW. Experimental results show that the method is robust to distortion and degradation including affine transformations.
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Communication dans un congrès
Jacques Blanc-Talon and Richard P. Kleihorst and Wilfried Philips and Dan C. Popescu and Paul Scheunders. Advanced Concepts for Intelligent Vision Systems, Aug 2011, Ghent, Belgium. Springer, 6915, pp.249--260, 2011, 13th International Conference on Advanced Concepts for Intelligent Vision Systems - ACIVS 2011. 〈http://dx.doi.org/10.1007/978-3-642-23687-7_23〉. 〈10.1007/978-3-642-23687-7_23〉
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Santosh K.C., Bart Lamiroy, Laurent Wendling. DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method. Jacques Blanc-Talon and Richard P. Kleihorst and Wilfried Philips and Dan C. Popescu and Paul Scheunders. Advanced Concepts for Intelligent Vision Systems, Aug 2011, Ghent, Belgium. Springer, 6915, pp.249--260, 2011, 13th International Conference on Advanced Concepts for Intelligent Vision Systems - ACIVS 2011. 〈http://dx.doi.org/10.1007/978-3-642-23687-7_23〉. 〈10.1007/978-3-642-23687-7_23〉. 〈inria-00617287〉

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