摘要
提出了一种改进的模糊c均值聚类图像分割算法,利用直方图作为模糊c均值算法的初始值,克服了该算法对初始值敏感性的问题,并以ENVISAT ASAR和ERS SAR两种不同类型的溢油图像为例进行分析,实验结果表明,该方法是一种计算效率适中的SAR溢油图像分割算法。
The paper proposed an improved image segment of the fuzzy c-means clustering.Using the histogram as the initial value of the fuzzy c-means computation,the sensitivity of the computation to the initial value is avoided.The two different types of SAR oil-spills-ENVISAT ASAR and ERS SAR are used as examples in the analysis,the results show that the method is a method of the SAR oil-spills imagery segment with a moderate computation efficiency.
出处
《苏州科技学院学报（工程技术版）》
CAS
2010年第3期78-80,共3页
Journal of Suzhou University of Science and Technology （Engineering and Technology）
关键词
合成孔径雷达
溢油
图像分割
模糊C均值
synthetic aperture radar
oil-spills
image segment
fuzzy c-means
