Paper Info
Title
A Content Based Pattern Analysis System for a Biological Specimen Collection
Abstract
Over the years many research collections of biological specimen have been developed for research in biological sciences. Number of specimens in some of these collections can be as high as several millions. There is a move to convert these physical specimens into digital images. This research is motivated by the need to develop techniques to mine useful information from these large collections of specimen images. Specific focus of this research is on the collection of parasites in the Harold W. Manter Laboratory (HWML) Parasite Collection, one of the top four parasite collections in the world. These parasites closely resemble in shape and have flexible bodies with rigid extremities. They have only a few specific structural differences. In this paper we present a technique to retrieve specimens based on shape of a given sample. This form of mining based on the shape of the specimen has the potential to discover linkages between specimens not otherwise known.
Year
DOI
Venue
2007
10.1109/ICDMW.2007.3
ICDM Workshops
Keywords
Field
DocType
research collection,physical specimen,digital image,parasite collection,biological specimen collection,pattern analysis system,specific structural difference,biological specimen,specific focus,biological science,harold w. manter laboratory,specimen image,biological sciences,digital images,image processing,pattern recognition,pattern analysis
Biological specimen,Information retrieval,Computer science,Pattern analysis,Image processing,Digital image
Conference
ISBN
Citations 
PageRank 
0-7695-3033-8
2
0.39
References 
Authors
3
3
Name
Order
Citations
PageRank
Joyita Mallik150.78
A Samal21033213.54
Scott L. Gardner350.78