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