Bimodal system for interactive indexing and retrieval of pathologyimages
Comaniciu, D.
Meer, P.
Foran, D.
Medl, A.
Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ;
This paper appears in: Applications of Computer Vision, 1998. WACV '98. Proceedings., Fourth IEEE Workshop on
Publication Date: 19-21 Oct 1998
On page(s): 268-269
Meeting Date: 10/19/1998 - 10/21/1998
Location: Princeton, NJ, USA
ISBN: 0-8186-8606-5
References Cited: 5
INSPEC Accession Number: 6096846
Digital Object Identifier: 10.1109/ACV.1998.732900
Current Version Published: 2002-08-06
Abstract
We demonstrate the prototype of an image understanding based
system to support decision making in clinical pathology. The system
employs all four major low level vision queues (shape, texture, color,
metric measures) in content-based retrieval of visual information. The
reliability of the central module of the system, the fast color
segmenter, makes possible on-line analysis of the query image. The user
interface is bimodal (speech and mouse input), allowing a natural
communication with the system
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