Region-based Retrieval of Biomedical Images
James Z. Wang
Stanford University, Stanford, CA 94305
Searching digital biomedical images is a challenging problem.
Prevalent retrieval techniques involve human-supplied text annotations
to describe image contents. Biomedical images, such as pathology
slides, usually have higher resolution than general-purpose pictures,
making it additionally difficult to index. Precise object
segmentation is also extremely difficult and is still an open problem.
We are developing a multiresolution region-based retrieval system for
high-resolution biomedical image databases. The system, based on
wavelets, the IRM (Integrated Region Matching) distance, and image
classification, is highly robust to inaccurate image segmentation and
various visual alterations. Tested on a database of more than 70,000
pathology image fragments, the system has demonstrated high accuracy
and fast speed.
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July 10 2000