Paper
17 December 1998 Image content retrieval from image databases using feature integration by Choquet integral
Mihail Popescu, Paul D. Gader
Author Affiliations +
Abstract
A novel similarity measure based on the Choquet integral was introduced for retrieving images that 'mostly' fit the query image, from an image database. We show that in certain conditions, the measure is a norm, a fact that can be used to reduce the searching time, using the triangle inequality. To test the new measure, a content-based image retrieval system was built. The system was benchmarked against the visual retrieval cartridge, Virage, built into Oracle 8 database system. The results suggested that the new measure is useful for image retrieval.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mihail Popescu and Paul D. Gader "Image content retrieval from image databases using feature integration by Choquet integral", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333875
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CITATIONS
Cited by 17 scholarly publications.
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KEYWORDS
Image retrieval

Databases

Feature extraction

Image filtering

Image segmentation

Fuzzy logic

Distance measurement

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