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Segmentation of underwater multispec...

Rivera Maldonado, Francisco Jose.

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Segmentation of underwater multispectral images with applications in the study of coral reefs.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Segmentation of underwater multispectral images with applications in the study of coral reefs./
Author:	Rivera Maldonado, Francisco Jose.
Description:	87 p.
Notes:	Source: Masters Abstracts International, Volume: 43-01, page: 0284.
Contained By:	Masters Abstracts International43-01.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1421836
ISBN:	0496265814

Segmentation of underwater multispectral images with applications in the study of coral reefs.
Rivera Maldonado, Francisco Jose.

Segmentation of underwater multispectral images with applications in the study of coral reefs. - 87 p.

Source: Masters Abstracts International, Volume: 43-01, page: 0284.

Thesis (M.S.)--University of Puerto Rico, Mayaguez (Puerto Rico), 2004.

The monitoring and studying corals reefs can be used to measure the effects of contamination in the ocean. An essential preliminary step for recognizing and analyzing corals reefs in an image is image segmentation. The main goal of image segmentation is to divide an image into parts that have a strong correlation with objects or areas of the real world contained in the image.

ISBN: 0496265814Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Segmentation of underwater multispectral images with applications in the study of coral reefs.
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040 $a UnM $c UnM
100 1 $a Rivera Maldonado, Francisco Jose. $3 1937836
245 1 0 $a Segmentation of underwater multispectral images with applications in the study of coral reefs.
300 $a 87 p.
500 $a Source: Masters Abstracts International, Volume: 43-01, page: 0284.
500 $a Adviser: Raul E. Torres Muniz.
502 $a Thesis (M.S.)--University of Puerto Rico, Mayaguez (Puerto Rico), 2004.
520 $a The monitoring and studying corals reefs can be used to measure the effects of contamination in the ocean. An essential preliminary step for recognizing and analyzing corals reefs in an image is image segmentation. The main goal of image segmentation is to divide an image into parts that have a strong correlation with objects or areas of the real world contained in the image.
520 $a The segmentation algorithms used in this work can be divided in two areas: boundary detection---segmentation only across contour boundaries created by the objects and homogeneity analysis---segmentation across the quantification of the homogenous regions created by the objects. Two new algorithms based on these two areas were developed: new Hough transform for boundary detection algorithm (NHTBDA) and Hurst coefficient/Hough transform algorithm (HCHTA). The developed algorithms were compared with other two homogeneity based algorithms presented in the literature. The performance of the algorithms and the results of the segmentation are tested and analyzed in: underwater multispectral images generated in a controlled environment, underwater multispectral images taken by an Autonomous Underwater vehicle (AUV), and remotely sensed images.
590 $a School code: 0553.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Marine and Ocean. $3 1019064
650 4 $a Biology, Oceanography. $3 783691
690 $a 0544
690 $a 0547
690 $a 0416
710 2 0 $a University of Puerto Rico, Mayaguez (Puerto Rico). $3 1017811
773 0 $t Masters Abstracts International $g 43-01.
790 1 0 $a Torres Muniz, Raul E., $e advisor
790 $a 0553
791 $a M.S.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1421836