An efficient method of SAR image segmentation based on texture feature

被引：2

作者：

Xue, Xiaorong ^{[1
]}

Wang, Jipeng ^{[1
]}

Xiang, Fang ^{[1
]}

Wang, Hongfu ^{[1
]}

机构：

[1] Anyang Normal Univ, Sch Comp & Informat Engn, Anyang, Henan, Peoples R China

来源：

JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING | 2016年 / 16卷 / 04期

关键词：

SAR image; image segmentation; wavelet; FCM; texture feature;

D O I：

10.3233/JCM-160697

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

For the existence of speckle in SAR (Synthetic Aperture Radar) image, it is very difficult to obtain good segmentation result with traditional methods. In this paper, an efficient method of SAR image segmentation is proposed with the combination of the features of SAR image and multi-resolution analysis of wavelet. First, texture features of SAR image are abstracted in wavelet domain. Second, SAR image is filtered according to the feature of its distribution in the wavelet domain. At last, with Fuzzy C-Means clustering technique (FCM), SAR image is segmented according to the vectors composed by wavelet texture features and grayscale of SAR image filtered. The experiment results show that the proposed method is efficient in SAR image segmentation.

引用

页码：855 / 864

页数：10

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