An image analysis technique for exploration of manganese nodules SCIE SCOPUS

Cited 6 time in WEB OF SCIENCE Cited 8 time in Scopus
Title
An image analysis technique for exploration of manganese nodules
Author(s)
Park, CY; Park, SH; Kim, CW; Kang, JK; Kim, KH
Publication Year
1999-10
Abstract
In order to develop the mineral resources contained in manganese nodules of the deep sea, the Korea Ocean Research di Development Institute (KORDI) has explored the area allocated by the United Nations in the Clarion-Clipperton Fracture Zone in the northeastern Pacific. During research cruises, the seabed surface was photographed every 30 s by the KORDI Deep Tow Imaging System (DTIS). Features such as the coverage and size distribution of manganese nodules on the photographs serve as the essential information to determine the potential mining areas. This article presents (semi)automatic procedures to extract the useful features from the photographs of the seabed surface using digital image processing techniques. The 35-mm films are first digitized by the film scanner. The depth information written on the film is then recognized to compensate for distortions due to nonuniform illumination. The nodule areas on the digitized image are recognized and separated from the background based on the characteristics of the nodules. The nodule coverage and distribution of nodule diameters are then calculated from the processed image. The proposed technique has been applied to sample photographs of the seabed surface. Experimental results indicate that the technique could be utilized as an efficient tool to process the massive collection of photographs of the seabed surface.
ISSN
1064-119X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/6147
DOI
10.1080/106411999273684
Bibliographic Citation
MARINE GEORESOURCES & GEOTECHNOLOGY, v.17, no.4, pp.371 - 386, 1999
Publisher
TAYLOR & FRANCIS INC
Keywords
digital image processing; image analysis; manganese nodule
Type
Article
Language
English
Document Type
Article
Publisher
TAYLOR & FRANCIS INC
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse