DocumentCode :
2818623
Title :
Study on underwater image segmentation technique
Author :
Cheng-Xin, Yan
Author_Institution :
Coll. of Mech. Eng., China Univ. of Pet. (East China), Dongying, China
Volume :
1
fYear :
2010
fDate :
17-18 April 2010
Firstpage :
135
Lastpage :
137
Abstract :
Underwater image segmentation is an important technique for underwater machine vision and underwater resources exploration. For the complexity of imagery underwater image segmentation is more difficult that that for common images. Methods on underwater image segmentation are studied. The advantages and limitations of each algorithm are discussed. Future searching trends for underwater image segmentation are given.
Keywords :
computer vision; image segmentation; underwater image segmentation; underwater machine vision; underwater resources exploration; Ecosystems; Educational institutions; Electronic mail; Entropy; Image segmentation; Machine vision; Mechanical engineering; Particle scattering; Partitioning algorithms; Petroleum; image segmentation; machine vision; underwater image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-5514-0
Type :
conf
DOI :
10.1109/EDT.2010.5496625
Filename :
5496625
Link To Document :
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