DocumentCode :
3233434
Title :
A Hybrid Approach Based on Biological and Morphology Methods Used in Species Identification System
Author :
Wan, Sunhua ; Zhou, Yuanchun ; Yan, Baoping
Author_Institution :
Comput. Network Inf. Center, Grad. Univ. of Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
21-24 Oct. 2010
Firstpage :
297
Lastpage :
300
Abstract :
There are various kinds of birds in the Qinghai Lake National Nature Reserve. In recent years, avian influenza breaks out in this region for several times. The biologists need to identify the species of birds after the discovery of infected birds. They can classify the birds according to the appearance by experience, or they can identify the birds according to the gene collected from the birds. But these two methods all lack of precision. This paper comes up with a method that integrates these two methods.
Keywords :
biology computing; diseases; ecology; mathematical morphology; zoology; Qinghai Lake National Nature Reserve; avian influenza; biological methods; biologists; infected bird species; morphology methods; species identification system; Accuracy; Birds; Bismuth; Databases; Image color analysis; Morphology; BLAST; KNN; Species identification; morphology; relational database;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking and Distributed Computing (ICNDC), 2010 First International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8382-2
Type :
conf
DOI :
10.1109/ICNDC.2010.65
Filename :
5645376
Link To Document :
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