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Proceedings Article

Similarity measures for image databases

[+] Author Affiliations
Ramesh C. Jain, Shankar Chatterjee

Univ. of California/San Diego (USA)

S. N. J. Murthy

Central Michigan Univ. and Univ. of California/San Diego (USA)

Luong Tran

Massachusetts Institute of Technology (USA)

Proc. SPIE 2420, Storage and Retrieval for Image and Video Databases III, 58 (March 23, 1995); doi:10.1117/12.205318
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From Conference Volume 2420

  • Storage and Retrieval for Image and Video Databases III
  • Wayne Niblack; Ramesh C. Jain
  • San Jose, CA | February 05, 1995

abstract

Similarity between images is used for storage and retrieval in image databases. In the literature, several similarity measures have been proposed that may be broadly categorized as: (1) metric based, (2) set-theoretic based, and (3) decision-theoretic based measures. In each category, measured based on crisp logic as well as fuzzy logic are available. In some applications such as image databases, measures based on fuzzy logic would appear to be naturally better suited, although so far no comprehensive experimental study has been undertaken. In this paper, we report results of some of the experiments designed to compare various similarity measures for application to image databases. We are currently working with texture images and intend to work with face images in the near future. As a first step for comparison, the similarity matrices for each of the similarity measures are computed over a set of selected textures and are presented as visual images. Comparative analysis of these images reveals the relative characteristics of each of these measures. Further experiments are needed to study their sensitivity to small changes in images such as illumination, magnification, orientation, etc. We describe these experiments (sensitivity analysis, transition analysis, etc.) that are currently in progress. The results from these experiments offer assistance in choosing the appropriate measure for applications to image databases.

© (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Ramesh C. Jain ; S. N. J. Murthy ; Luong Tran and Shankar Chatterjee
"Similarity measures for image databases", Proc. SPIE 2420, Storage and Retrieval for Image and Video Databases III, 58 (March 23, 1995); doi:10.1117/12.205318; http://dx.doi.org/10.1117/12.205318


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