Segmentation of marine spill oil SAR image based on Gabor, Krawtchouk moments and KFCM
Wu, Yi Quan,
- 软件学院－会议论文 
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. ? (2013) Trans Tech Publications, Switzerland.