DocumentCode :
2192125
Title :
Scallop Detection from Sand-Seabed Images for Fishery Investigation
Author :
Enomoto, Koichiro ; Toda, Masashi ; Kuwahara, Yasuhiro
Author_Institution :
Grad. Sch. of Syst. Inf. Sci., Future Univ. Hakodate, Hakodate, Japan
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
We propose a method of extracting scallop areas from sand seabed images to assess fish resources, and developed an automatic system that measures their quantities, sizes, and states for fisheries management. In the gravel field, we can see scallops feature, such as color, fluted patterns and shaped like fans. But, it is difficult for the scallop is covered with sand in the sand field. The present study is described our extracting method using limited features, and presented the result and its effectiveness.
Keywords :
automatic optical inspection; feature extraction; fishing industry; feature extraction; fish resources; fisheries management; sand seabed images; scallop detection; Aquaculture; Area measurement; Data mining; Fans; Information science; Marine animals; Photography; Resource management; Size measurement; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5305438
Filename :
5305438
Link To Document :
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