Paper
31 January 1995 Indexing multispectral images for content-based retrieval
Julio E. Barros, James C. French, Worthy N. Martin, Patrick M. Kelly, James M. White
Author Affiliations +
Proceedings Volume 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities; (1995) https://doi.org/10.1117/12.200802
Event: 23 Annual AIPR Workshop: Image and Information Systems: Applications and Opportunities, 1994, Washington, DC, United States
Abstract
This paper discusses our view of image databases, content-based retrieval, and our experiences with an experimental system. We present a methodology in which efficient representation and indexing are the basis for retrieval of images by content as well as associated external information. In the example system images are indexed and accessed based on properties of the individual regions in the image. Regions in each image are indexed by their spectral characteristics, as well as by their shape descriptors and position information. The goal of the system is to reduce the number of images that need to be inspected by a user by quickly excluding substantial parts of the database. The system avoids exhaustive searching through the image database when a query is submitted.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julio E. Barros, James C. French, Worthy N. Martin, Patrick M. Kelly, and James M. White "Indexing multispectral images for content-based retrieval", Proc. SPIE 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities, (31 January 1995); https://doi.org/10.1117/12.200802
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Cited by 13 scholarly publications.
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KEYWORDS
Databases

Image processing

Image retrieval

Feature extraction

Image segmentation

Earth observing sensors

Multispectral imaging

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