Local patch dissimilarity for images

Authors:
Liviu Petrisor Dinu;Radu-Tudor Ionescu;Marius Popescu
Affiliations:
Faculty of Mathematics and Computer Science, University of Bucharest, Bucharest, Romania;Faculty of Mathematics and Computer Science, University of Bucharest, Bucharest, Romania;Faculty of Mathematics and Computer Science, University of Bucharest, Bucharest, Romania
Venue:
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Year:
2012

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Abstract

This paper aims to introduce a new distance measure for images, called Local Patch Dissimilarity. This new distance measure is inspired from rank distance which is a distance measure for strings. The distance measure introduced in this paper is based on patches. There are many other patch-based techniques used in image processing. Patches contain contextual information and have advantages in terms of generalization. An algorithm that computes the Local Patch Dissimilarity between two images is presented in this work. Experiments show that the extension of rank distance to images has very good results in image classification, more precisely in handwritten digit recognition.