Looking Beyond Region Boundaries: A Robust Image Similarity Measure Using Fuzzified Region Features
Yixin Chen, James Z. Wang
The Pennsylvania State University, University Park, PA 16802
The performance of most region-based image retrieval systems depend
critically on the accuracy of object segmentation. We propose a region
matching 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 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 the UFM measure. The system has been tested on a
database of about 60,000 general-purpose images. Experimental results
demonstrate improved accuracy and robustness.
Full Paper in Color
Yixin Chen and James Z. Wang, ``Looking Beyond Region Boundaries: A
Robust Image Similarity Measure Using Fuzzified Region Features,''
Proc. IEEE International Conference on Fuzzy Systems, pp. 1165-1170,
St. Louis, MO, 2003.
Copyright 2002 IEEE.
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October 21, 2002