DocumentCode :
149741
Title :
Automatic recognition of oyster racks in the aerial image
Author :
Wu-Ja Lin ; Yi-Xiang Huang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Formosa Univ., Yunlin, Taiwan
fYear :
2014
fDate :
21-24 April 2014
Firstpage :
1
Lastpage :
6
Abstract :
In this manuscript, we propose a system which can automatically recognize the oyster racks in an aerial image. As the oyster racks are recognized, the volume of the oysters could thus be estimated and the price can be predicted in advance. Besides that, when a disaster such as a typhoon strikes on the offshore, the loss could also be estimated when the numbers of oyster racks before and after the disaster are available for analysis. These information are useful for the local government in governing the aquaculture affairs. The advantage of the proposed system is to provide a useful tool in analyzing aquaculture information with less man power and time.
Keywords :
aquaculture; object recognition; aerial image; aquaculture affairs; aquaculture information; automatic oyster racks recognition; disaster; local government; typhoon; Aquaculture; Clustering algorithms; Image color analysis; Image recognition; Local government; Sea measurements; Tropical cyclones;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4799-2842-2
Type :
conf
DOI :
10.1109/ISSNIP.2014.6827688
Filename :
6827688
Link To Document :
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