Parallel Local Histogram Comparison Hardware Architecture for Content-Based Image Retrieval

Authors:
L. Kotoulas;I. Andreadis
Affiliations:
Laboratory of Electronics, Section of Electronics and Information Systems Technology, Department of Electrical and Computer Engineering, Democritus University of Thrace, GR-67 100 Xanthi, Greece;Laboratory of Electronics, Section of Electronics and Information Systems Technology, Department of Electrical and Computer Engineering, Democritus University of Thrace, GR-67 100 Xanthi, Greece
Venue:
Journal of Intelligent and Robotic Systems
Year:
2004

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Abstract

The explosive growth of the World Wide Web has made a vast amount of information available especially the multimedia data such as images and graphics. New generation search engines with the technology of Content-Based Image Retrieval (CBIR) is a response to the need. In this paper, a new technique based on composite local colour histograms suitable for CBIR is described. The proposed approach is accurate even in very large image databases. Furthermore, a novel parallel hardware structure has been designed and implemented on a chip-set of FPGAs, in order to increase the operation speed. Its typical maximum clock frequency is 35 MHz and it can perform over 50 comparisons of 640×480-pixel images per second.