Abstract
There have been no confirmed efficient fishery investigation methods for Laminaria beds in Nemuro, Hokkaido, Japan. Recently, using an underwater video camera has become an increasingly common way to investigate Laminaria beds. However, data obtained from the investigation need to be manually analyzed, which is inefficient. To develop an automated system for measuring the amount of fishery resources from images taken with an underwater camera for fishery investigation of Laminaria beds in Nemuro, Hokkaido, Japan. Ezo-wakame (a type of seaweed) extraction method using image analysis technology has been developed and evaluated in an experiment. In this paper, we explain about extraction method of Ezo-wakame and the experiment of applying the proposed method. This method uses the vein on the surface of Ezo-wakame to extract it because veins are specific characteristics and indicate the number of Ezo-wakames.
