CANDID: Comparison algorithm for navigating digital image databases (1994)
| Venue: | In Proceedings Seventh International Working Conference on Scientific and Statistical Database Management |
| Citations: | 24 - 3 self |
BibTeX
@INPROCEEDINGS{Kelly94candid:comparison,
author = {P. M. Kelly and T. M. Cannon},
title = {CANDID: Comparison algorithm for navigating digital image databases},
booktitle = {In Proceedings Seventh International Working Conference on Scientific and Statistical Database Management},
year = {1994},
pages = {252--258}
}
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Abstract
In this paper,wepropose a method forcalculating the similarity between two digital images. A global signature describing the texture, shape, or color content is rst computed for every image stored in a database, and a normalized distance between probability density functions of feature vectors is used to match signatures. This method can be used toretrieve images from a database that are similar to an example target image. This algorithm is applied totheproblem of search and retrieval for a database containing pulmonary CT imagery, and experimental results are provided. 1
