Document Detail


A string matching computer-assisted system for dolphin photoidentification.
MedLine Citation:
PMID:  11144987     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper presents a syntactic/semantic string representation scheme as well as a string matching method as part of a computer-assisted system to identify dolphins from photographs of their dorsal fins. A low-level string representation is constructed from the curvature function of a dolphin's fin trailing edge, consisting of positive and negative curvature primitives. A high-level string representation is then built over the low-level string via merging appropriate groupings of primitives in order to have a less sensitive representation to curvature fluctuations or noise. A family of syntactic/semantic distance measures between two strings is introduced. A composite distance measure is then defined and used as a dissimilarity measure for database search, highlighting both the syntax (structure or sequence) and semantic (attribute or feature) differences. The syntax consists of an ordered sequence of significant protrusions and intrusions on the edge, while the semantics consist of seven attributes extracted from the edge and its curvature function. The matching results are reported for a database of 624 images corresponding to 164 individual dolphins. The identification results indicate that the developed string matching method performs better than the previous matching methods including dorsal ratio, curvature, and curve matching. The developed computer-assisted system can help marine mammalogists in their identification of dolphins, since it allows them to examine only a handful of candidate images instead of the currently used manual searching of the entire database.
Authors:
B N Araabi; N Kehtarnavaz; T McKinney; G Hillman; B Würsig
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Annals of biomedical engineering     Volume:  28     ISSN:  0090-6964     ISO Abbreviation:  Ann Biomed Eng     Publication Date:  2000  
Date Detail:
Created Date:  2000-12-28     Completed Date:  2001-03-08     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0361512     Medline TA:  Ann Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1269-79     Citation Subset:  IM    
Affiliation:
Electrical Engineering Department, Texas A & M University, College Station 77843-3128, USA.
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MeSH Terms
Descriptor/Qualifier:
Animal Identification Systems / methods*,  statistics & numerical data
Animals
Biomedical Engineering
Computers*
Databases, Factual
Dolphins / anatomy & histology*
Marine Biology / methods
Photography

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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