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Image indexing using a texture dictionary

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

We propose a new method for indexing large image databases. The method incorporates neural network learning algorithms and pattern recognition techniques to construct an image pattern dictionary. Image retrieval is then formulated as a process of dictionary search to compute the best matching codeword, which in turn indexes into the database items. Experimental results are presented.
Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Pages288-298
Volume2606
Publication statusPublished - 1995
Externally publishedYes
EventDigital Image Storage and Archiving Systems - Philadelphia, PA, USA
Duration: 25 Oct 199526 Oct 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2606
ISSN (Print)0277-786X

Conference

ConferenceDigital Image Storage and Archiving Systems
CityPhiladelphia, PA, USA
Period25/10/9526/10/95

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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