A Scalable Integrated Region-based Image Retrieval System

Yanping Du, James Z. Wang
The Pennsylvania State University

In this paper, we present a scalable algorithm for indexing and retrieving images based on region segmentation. The method uses statistical clustering on region features and IRM (Integrated Region Matching), a measure developed to evaluate overall similarity between images incorporates properties of all the regions in the images by a region-matching scheme. The algorithm has been implemented as a part of our experimental SIMPLIcity image retrieval system and tested on large-scale image databases of both general-purpose images and pathology slides. Experiments have demonstrated that this technique maintains the accuracy of the original system while reducing the matching time significantly.

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Citation: Yanping Du and James Z. Wang ``A Scalable Integrated Region-Based Image Retrieval System,'' Proc. IEEE International Conference on Image Processing (ICIP), Thessaloniki, Greece, pp. 22-25, IEEE, October 2001.

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Last Modified: May 1, 2001