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dc.contributor.authorZhu, Lizh_CN
dc.contributor.authorWu, Yi Quan,zh_CN
dc.contributor.authorYin, Junzh_CN
dc.contributor.author殷俊zh_CN
dc.date.accessioned2015-07-22T02:16:13Z
dc.date.available2015-07-22T02:16:13Z
dc.date.issued2013zh_CN
dc.identifier.citationAdvanced Materials Research, 2013,760-762:1462-1466zh_CN
dc.identifier.issn1022-6680zh_CN
dc.identifier.other20134416938003zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/85764
dc.descriptionConference Name:2nd International Conference on Opto-Electronics Engineering and Materials Research, OEMR 2013. Conference Address: Zhengzhou, Henan, China. Time:October 19, 2013 - October 20, 2013.zh_CN
dc.descriptionComputer Science and Electronic Technology; Trans tech publications inc.; National Cheng Kung Universityzh_CN
dc.description.abstractTo further improve the accuracy of SAR image segmentation in the marine spill oil detection, a segmentation method of marine spill oil images based on Gabor, Krawtchouk moments and KFCM is proposed in this paper. Firstly, the marine spill oil image is decomposed by Gabor transform to obtain the texture features of image. Then, the Krawtchouk moments are applied to extract the shape features of image. Finally, the image segmentation is achieved based on KFCM. A large number of experimental results show that, compared with the related segmentation methods such as Tsallis entropy threshold method, CV model method and the method based on Gabor, Krawtchouk moments and FCM, the proposed method can achieve better result. ? (2013) Trans Tech Publications, Switzerland.zh_CN
dc.language.isoen_USzh_CN
dc.publisherTrans Tech Publications Ltdzh_CN
dc.source.urihttp://dx.doi.org/10.4028/www.scientific.net/AMR.760-762.1462zh_CN
dc.subjectElectronics engineeringzh_CN
dc.subjectInformation technologyzh_CN
dc.subjectSynthetic aperture radarzh_CN
dc.titleSegmentation of marine spill oil SAR image based on Gabor, Krawtchouk moments and KFCMzh_CN
dc.typeConferencezh_CN


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