DocumentCode
2813295
Title
The amount of Alaria praelonga Kjellmans analysis method from laminaria bed images for fishery investigation
Author
Hagisawa, Takeshi ; Enomoto, Kazuya ; Toda, Masashi ; Tamura, Masato ; Takeda, Sakae
Author_Institution
Sch. of Syst. Inf. Sci., Future Univ. Hakodate, Hakodate, Japan
fYear
2011
fDate
9-11 Feb. 2011
Firstpage
1
Lastpage
6
Abstract
The purpose of this research is to develop automated system for measuring the amount of target fishery resources from images which are taken with underwater camera for fishery investigation in laminaria beds in Nemuro, Japan. The image analysis technology for measuring the amount of target in laminaria beds in Nemuro is needed to develop it. In laminaria beds in Nemuro, there is no efficient method to mesuring “Needless Seaweed” which prevent the growth of laminaria. Alaria praelonga Kjellmen is one of Needless Seaweeds which has a vein on the surface. In this paper, we explain about extraction method of this vein to mesure Alaria praelonga Kjellmen from the image.
Keywords
aquaculture; feature extraction; geophysical image processing; Alaria praelonga Kjellmans analysis method; Japan; Nemuro; automated system; extraction method; fishery investigation; image analysis technology; laminaria bed images; needless seaweeds; target fishery resources; underwater camera; Brightness; Cameras; Convergence; Indexes; Noise; Pixel; Veins;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on
Conference_Location
Ulsan
Print_ISBN
978-1-61284-677-4
Electronic_ISBN
978-1-61284-676-7
Type
conf
DOI
10.1109/FCV.2011.5739709
Filename
5739709
Link To Document