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