Content-based retrieval of color and multispectral images using joint spatial-spectral indexing

Asha Vellaikal; C.-C. Jay Kuo; Son K. Dao

doi:10.1117/12.227246

21 November 1995 Content-based retrieval of color and multispectral images using joint spatial-spectral indexing

Asha Vellaikal, C.-C. Jay Kuo, Son K. Dao

Proceedings Volume 2606, Digital Image Storage and Archiving Systems; (1995) https://doi.org/10.1117/12.227246
Event: Photonics East '95, 1995, Philadelphia, PA, United States

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.

Citation Download Citation

Asha Vellaikal, C.-C. Jay Kuo, and Son K. Dao "Content-based retrieval of color and multispectral images using joint spatial-spectral indexing", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); https://doi.org/10.1117/12.227246

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