Looking Beyond Region Boundaries:
Region-Based Image Retrieval Using Fuzzy Feature
Matching
Yixin Chen, James Z. Wang
The Pennsylvania State University, University Park, PA 16801
Abstract:
For a region-based image retrieval system, performance depends
critically on the accuracy of object segmentation. We propose a soft
computing approach, unified feature matching (UFM), which greatly
increases the robustness of the retrieval system against segmentation
related uncertainties. In our retrieval system, an image is
represented by a set of segmented regions each of which is
characterized by a fuzzy feature (fuzzy set) reflecting color,
texture, and shape properties. The resemblance between two images is
then defined as the overall similarity between two families of fuzzy
features, and quantified by a similarity measure, UFM measure. The
system has been tested on a database of about 60,000 general-purpose
images. Experiment results demonstrate improved accuracy, robustness,
and high speed.
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Last Modified:
July 28 2001
© 2001