Segmentation of Marine Spill Oil SAR Image Based on Gabor,Krawtchouk Moments and KFCM

摘要：

　　To 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.

关键词： marine spill oil detection image segmentation Gabor Krawtchouk moments kernel fuzzy C-means

作者: Li Zhu Yiquan Wu Jun Yin

作者单位: College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Key Laboratory of Marine Spill Oil Identification and Damage Assessment Technology,State Oceanic Adm

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 652-656

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）