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基于分水岭-谱聚类的SAR图像分割
引用本文:马秀丽,焦李成.基于分水岭-谱聚类的SAR图像分割[J].红外与毫米波学报,2008,27(6).
作者姓名:马秀丽  焦李成
作者单位:1. 上海大学,通信与信息工程学院,上海,200072
2. 西安电子科技大学,智能信息处理研究所,陕西,西安,710071
基金项目:国家高技术研究发展计划(863计划) , 上海大学创新计划 , 上海高校选拔培养优秀青年教师科研专项基金  
摘    要:由于谱聚类是基于图论的、以相似性为基础的聚类方法,需要计算图像中每对像素点之间的相似性.当图像很大时,计算相似性矩阵和求解相应的特征值、特征向量是很困难和耗时的.为此,针对合成孔径雷达(SAR)图像的特点,提出了一个两阶段的图像分割方法,首先采用分水岭算法对图像进行过分割,然后再用改进的谱聚类算法进行聚类.新方法不仅可以减少噪声对分割结果的影响,很好地保持图像边缘,而且对时间要求较高的应用也具有一定的参考价值.为了验证新方法的有效性,将其用于SAR图像分割,取得了较优的分割结果.

关 键 词:谱聚类算法  分水岭  SAR图像分割

SAR IMAGE SEGMENTATION BASED ON WATERSHED AND SPECTRAL CLUSTERING
MA Xiu-Li,JIAO Li-Cheng.SAR IMAGE SEGMENTATION BASED ON WATERSHED AND SPECTRAL CLUSTERING[J].Journal of Infrared and Millimeter Waves,2008,27(6).
Authors:MA Xiu-Li  JIAO Li-Cheng
Abstract:Spectral clustering is a similarity-based clustering algorithm on graph theory.When the processed image is very huge,it is very difficult and time-consuming to compute affinity matrix and its eigenvalues and eigenvectors.Aiming at the characteristics of synthetic aperture radar(SAR) images,a two-stage image segmentation algorithm was proposed,in which watershed was used to produce over-segmentation and an improved spectral clustering algorithm was applied to perform final clustering.The new algorithm can not only reduce the noise in SAR images and keep their boundary very well but also is valuable to the application of higher demand for time.To verify the performance of the proposed algorithm,it was applied to segment SAR images,and better segmentation results were obtained.
Keywords:spectral clustering algorithm  watershed  SAR image segmentation
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