DocumentCode :
1936144
Title :
A New Type of Image-Based Key
Author :
Kirchoff, Bruce ; Remington, David ; Lixin Fu ; Sadri, Fereidoon
Author_Institution :
Dept. of Biol., UNC Greensboro, Greensboro, NC
Volume :
1
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
825
Lastpage :
829
Abstract :
Keys are character based tools for plant identification. They are based on the decomposition of the plant into very small, atomistic parts. These parts are described with the technical and often arcane terminology of plant taxonomy. Even the best electronic keys (Delta, Lucid) make use of this terminology. Keys are not based on pattern recognition, the forte of visual experts. Instead they demand that the user look at the plant as if it consisted of a series of isolated parts that are classified by name. Keys would be more effective if they were visually based. They would be easier to use for visual experts because accurate perception is their providence. They would also be easier to use for novices because they would not depend on knowledge of arcane terminology. This paper proposed an innovative image-based key system for species recognition.
Keywords :
Bayes methods; biology computing; botany; expert systems; image classification; learning (artificial intelligence); Bayesian statistical framework; expert pattern recognition; innovative image-based key system; plant decomposition; plant identification; species identification; species recognition; user interactive learning system; visual experts; Biology; Biomedical engineering; Biomedical informatics; Computer science; Image recognition; Pattern recognition; Plants (biology); Shape; Taxonomy; Terminology; holistic; image key;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
Type :
conf
DOI :
10.1109/BMEI.2008.301
Filename :
4548786
Link To Document :
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