NDLI: Classification of Underwater Color Images with Applications in the Study of Deep Coral Reefs

Content Provider	IEEE Xplore Digital Library
Author	Diaz, J.A. Torres, R.E.
Copyright Year	2006
Description	Author affiliation: Electr. & Comput. Eng. Dept., Univ. of Puerto Rico at Mayaguez, Mayaguez (Diaz, J.A.; Torres, R.E.)
Abstract	Coral reefs ecosystems have been impacted by natural and anthropogenic effects resulting in a decline of coral communities worldwide. This decline in coral reefs has an economical impact in tourist areas, and marine ecosystems. Coral reef scientists and resource managers monitor and map coral reefs communities manually. Automated techniques are nonexistence, especially in deep waters where the absorption and scattering properties of the water do not allow the use of satellites. In these cases, other imaging platforms like autonomous underwater vehicles (AUV) are needed. This work presents a prototype classification algorithm with applications in the study of deep coral reefs taken by the SeaBED (AUV) at the Hind Bank Marine Conservation District (MCD), south of Saint Thomas, U.S. Virgin Islands. Because of light conditions, the images acquired by this AUV have low contrast, are very noisy, and are extremely rich in both spatial variability and texture, making the automated classification a very difficult task [Rivera Maldonado Francisco J, 2004; River F.J. et al., 2004], The classification algorithm developing in this research use the local homogeneity coefficient segmentation algorithm [Rivera Maldonado Francisco J, 2004; River F.J. et al., 2004] as first stage to find the different regions of interest in the images like corals, bare substrate, and sand among others classes. Combining a pixel by pixel Euclidean classification in each region with some texture features the classification of each region is performed. Finally, the results of the algorithm are validated with the traditional manual classification done for this type of applications.
Starting Page	610
Ending Page	613
File Size	1336691
Page Count	4
File Format	PDF
ISBN	1424401720
ISSN	15483746
DOI	10.1109/MWSCAS.2006.381804
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-06
Publisher Place	Puerto Rico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Color Ecosystems Water resources Classification algorithms Rivers Resource management Monitoring Absorption Light scattering Water conservation Texture Classification Segmentation
Content Type	Text
Resource Type	Article
Subject	Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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