Distance-based functions for image comparison

The interest in digital image comparison is steadily growing in the computer vision community. The definition of a suitable comparison measure for non-binary images is relevant in many image processing applications. Visual tasks like segmentation and classification require the evaluation of equivalence classes. Measures of similarity are also used to evaluate lossy compression algorithms and to define pictorial indices in image content based retrieval methods. In this paper we develop a distance-based approach to image similarity evaluation and we present several image distances which are based on low level features. The sensitivity and eAectiveness are tested on real data. ” 1999 Published by Elsevier Science B.V. All rights reserved.

[1]  Faouzi Ghorbel,et al.  A shape distance by complete and stable invariant descriptors for contour tracking , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[2]  J. Daugman.  Phenotypic versus Genotypic Approaches to Face Recognition , 1998 .

[3]  Anil K. Jain,et al.  A modified Hausdorff distance for object matching , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[4]  Markus A. Stricker,et al.  Similarity of color images , 1995, Electronic Imaging.

[5]  Faouzi Ghorbel,et al.  A complete invariant description for gray-level images by the harmonic analysis approach , 1994, Pattern Recognit. Lett..

[6]  F. Gregory Ashby,et al.  Toward a Unified Theory of Similarity and Recognition , 1988 .

[7]  A. Baddeley.  Errors in binary images and an $Lsp p$ version of the Hausdorff metric , 1992 .

[8]  Alex Pentland,et al.  A Bayesian similarity measure for direct image matching , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[9]  Valery V. Starovoitov.  Towards a measure of diversity between grey-scale images , 1995, CAIP.

[10]  Vito Di Gesù,et al.  Integrated fuzzy clustering , 1994 .

[11]  Daniel P. Huttenlocher,et al.  Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Edoardo Ardizzone,et al.  JACOB: just a content-based query system for video databases , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[13]  Domenico Tegolo,et al.  Shape analysis for image retrieval , 1994, Electronic Imaging.

[14]  Reinhard Klette,et al.  Measures of correspondence between binary patterns , 1987, Image Vis. Comput..

[15]  A. J. Baddeley Cwi.  Errors in Binary Images and an L P Version of the Hausdorr Metric , 1992 .

[16]  Sankar K. Pal,et al.  Fuzzy Mathematical Approach to Pattern Recognition , 1986 .

[17]  P. Danielsson.  Euclidean distance mapping , 1980 .

[18]  Piero Zamperoni,et al.  On Measures of Dissimilarity between Arbitrary Gray-Scale Images , 1996, Int. J. Shape Model..

[19]  Vito Di Gesù,et al.  Symmetry operators in computer vision , 1996 .

[20]  Anil K. Jain,et al.  A Modiied Hausdorr Distance for Object Matching , 1994 .