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
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;
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
DOI :
10.1109/FCV.2011.5739709