Paper
21 November 1995 Image retrieval based on color features: an evaluation study
HongJiang Zhang, Yihong Gong, Chien Yong Low, Stephen W. Smoliar
Author Affiliations +
Proceedings Volume 2606, Digital Image Storage and Archiving Systems; (1995) https://doi.org/10.1117/12.227244
Event: Photonics East '95, 1995, Philadelphia, PA, United States
Abstract
This paper presents an experimental evaluation of different image content representations, all of which are based on the use of color histograms to support indexing and searching schemes. We investigate the use of different color resolutions, restriction to dominant colors, and matching based on both global and local histograms. We also examine how suitable numerical index keys may be designed to support retrieval, and we assess the use of Self-Organizing Maps to guide structuring a database of images. All of our results are based on experimental studies, and our conclusions should lead to useful guidelines for developing image indexing and retrieval systems based on visual content.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
HongJiang Zhang, Yihong Gong, Chien Yong Low, and Stephen W. Smoliar "Image retrieval based on color features: an evaluation study", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); https://doi.org/10.1117/12.227244
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Cited by 64 scholarly publications.
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KEYWORDS
Image retrieval

Databases

Feature extraction

Image processing

Visualization

Image resolution

Data processing

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