Development of a realtime plankton image archiver for AUVs

Author

Nagashima, Yudai ; Matsumoto, Yohei ; Kondo, Hayato ; Yamazaki, Hidekatsu ; Gallager, Scott

Author_Institution

Tokyo Univ. of Marine Sci. & Technol., Tokyo, Japan

fYear

2014

Firstpage

1

Lastpage

6

Abstract

The goal of this study is to make it possible to measure the distribution of the plankton by using an AUV with a digital microscope camera on the nose. Because of the relatively low performance of the storage device in our AUV, the Regions Of Interest (ROIs) that contain focused plankton´ images are extracted from a grabbed image in realtime, and only the ROI images are stored in the onboard memory storage. Thus, the stored data size is much less than that of the whole grabbed images. Moreover, it reduces memory footprint and data bandwidth required for the storage device. For this purpose we have developed a realtime processing board KB-7Z045, the mnemonic name is KRIP. In this paper, the system architecture of the KRIP, the ROI extraction algorithm and their feasibility are described.

Keywords

autonomous underwater vehicles; image processing; storage media; video cameras; AUV; KB-7Z045; KRIP; ROI extraction algorithm; ROI images; data bandwidth; digital microscope camera; grabbed image; memory footprint; mnemonic name; onboard memory storage; plankton images; realtime plankton image archiver; realtime processing board; regions of interest; storage device; stored data size; system architecture; Cameras; Field programmable gate arrays; Labeling; Linux; Microscopy; Morphological operations; Software; Image processing; plankton recorder; realtime;

fLanguage

English

Publisher

ieee

Conference_Titel

Autonomous Underwater Vehicles (AUV), 2014 IEEE/OES

Print_ISBN

978-1-4799-4345-6

Type

conf

DOI

10.1109/AUV.2014.7054424

Filename

7054424