Distance-based functions for image comparison

Pattern Recognition Letters

Volumn 20, Issue 2, 1999, Pages 207-214

  Di Gesù, Vito ^a   Starovoitov, Valery ^b  

^a UNIVERSITY OF PALERMO   (Italy)

^b NONE

Author keywords

Distance function; Image analysis; Image comparison; Similarity

Indexed keywords

ALGORITHMS; COMPUTER VISION; IMAGE ANALYSIS;

DISTANCE FUNCTIONS; IMAGE COMPARISON;

IMAGE PROCESSING;

EID: 0033076358     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(98)00115-9     Document Type: Article

References (23)

1. Ashby G.F., Perrin N.A. Toward a unified theory of similarity and recognition. Psychological Review. 95(1):1988;124-150.
2. p version of the Hausdorff metric. Nieuw Archief voor Wiskunde. 10:1992;157-183.
3. Danielson P.E. Euclidean distance mapping. Comput. Graphics Image Process. 14:1980;227-248.
4. Daughman, J., 1997. Phenotypic versus genotype approaches to face recognition. In: Abstracts NATO ASI on Face Recognition, Stirling, UK, June-July.
5. Di Gesù V. Integrated fuzzy clustering. Internat. Journal of Fuzzy Sets and Systems. 68:1994;293-308.
6. Di Gesù, V., Valenti, C., 1996. Symmetry operators in computer vision. In: Vistas in Astronomy, Vol. 40, Part 4. Elsevier, Amsterdam, pp. 461-468.
7. Dubuisson, M.P., Jain, A.K., 1994. A modified Hausdorff distance for object matching. In: Proc. of 12th ICPR, Jerusalem, pp. 566-568.
8. Ghorbel F. A complete invariant description for gray-level images by the harmonic analysis approach. Pattern Recognition Letters. 15:1994;1043-1051.
9. Huttenlocher D.P., Klanderman G.A., Ruckidge W.J. Comparing images using the Hausdorff distance. IEEE Trans. on PAMI. PAMI-15:1993;850-863.
10. La Cascia, M., Ardizzone, E., 1996. JACOB: Just a content-based query system for video databases. In: ICASSP, 7-10 May 1996, Atlanta.
11. Kara Falah, R., Bolon, Ph., 1992. Measure de dissimilarité entre segmentations. Rapport LAMII 92/03, France, June 1992.
12. Klette R., Zamperoni P. Measures of correspondence between binary patterns. Image and Vision Computing. 5:1987;287-295.
13. Moghaddam, B., Nastar, C., Pentland, A., 1996. A Bayesian similarity measure for direct image matching. In: Proc. 13th ICPR, Vol. B, pp. 350-358.
14. Mokadem, A., Daoudi, M., Ghorbel, F., 1996. A shape distance by complete and stable invariant descriptors for contour tracking. In: Proc. 13th ICPR, Vol. A, pp. 105-109.
15. Pal, S.K., Majumder, D.K.D., 1986. Fuzzy Mathematical Approach to Pattern Recognition. Halsted Press, Wiley, New York.
16. Russ J.C., Russ J.C. Uses of the Euclidean distance map for the measurement of features in images. J. Comput. Assist. Microsc. 1(4):1989;343.
17. Starovoitov V. Towards a measure of diversity between gray-scale images. Lecture Notes in Computer Science. 970:1995;214-221.
18. Starovoitov, V., Marcelli, A., 1997. Characterization of a distance-based dissimilarity measure. In: Fourth Internat. Conf. on Pattern Recognition and Information Processing, Vol. 1, pp. 160-164.
19. Starovoitov, V., Samal, D., 1998. A geometric approach to color image similarity. submitted to GKPO'98.
20. Stricker, M., Orengo, M., 1995. Similarity of color images. In: Proc. Storage and Retrieval for Image and Video Databases III, Vol. 2420, pp. 381-392.
21. Tegolo, D., 1994. Shape analysis for image retrieval. In: SPIE Storage and Retrieval for Image and Video Database, Vol. II, pp. 59-69.
22. Wilson D.L., Baddeley A.J., Owens R.A. A new metric for gray-scale image comparison. Internat. Journal of Computer Vision. 24:1997;5-17.
23. Zamperoni P., Starovoitov V. On measures of dissimilarity between arbitrary gray-scale images. Internat. Journal of Shape Modeling. 2(2/3):1996;189-213.