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Proceedings Paper

Content-based retrieval of color and multispectral images using joint spatial-spectral indexing
Author(s): Asha Vellaikal; C.-C. Jay Kuo; Son K. Dao
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Paper Abstract

A method based on the joint indexing of spatial and spectral information is presented for the purposes of content-based color and multispectral image retrieval. The image representation consists of hierarchical spatial structuring along with feature extraction in localized regions of the image. The algorithm comprises of a quadtree based image splitting method and a clustering technique to extract spectral information. It can support localized queries regarding either the colors or classes present in color and multispectral images. Experimental results suggest that the joint spatial and spectral indexing approach is a very flexible and efficient method for content-based queries in image database management.

Paper Details

Date Published: 21 November 1995
PDF: 12 pages
Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); doi: 10.1117/12.227246
Show Author Affiliations
Asha Vellaikal, Univ. of Southern California and Hughes Research Labs. (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)
Son K. Dao, Hughes Research Labs. (United States)


Published in SPIE Proceedings Vol. 2606:
Digital Image Storage and Archiving Systems
C.-C. Jay Kuo, Editor(s)

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