混合分水岭变换和改进FCM的图像分割方法  

Hybrid method of image segmentation using watershed transform and improved FCM

作　　者：汪林林[1,2] 肖春雷[1,2] 王佐成[1,2] 

机构地区：[1]重庆邮电大学计算机科学与技术学院,重庆400065 [2]重庆工学院,重庆400065

出　　处：《计算机工程与应用》2010年第14期189-191,共3页Computer Engineering and Applications

基　　金：重庆市自然科学基金No.2005BB2065~~

摘　　要：分水岭变换是图像分割的一种强有力的形态工具,能够自动生成一系列封闭分割区域。其不足之处是过分割、对噪声敏感。为克服分水岭变换固有的缺点,综合利用非线性滤波和改进的FCM算法优化分水岭变换得出的初始分割,提出了一种新的混合分割算法-HWIF(Hybrid Watershed and Improved FCM)分割法。与MeanShift算法及区域合并算法相比,该方法充分利用了区域的灰度和区域间的空间信息。实验结果表明该算法能有效克服分水岭算法的过分割问题,且分割效果优于以上两种方法。Watershed transformation is a powerful morphological tool for image segmentation which can automatically generate a series of closed segmentation regions.However,the watershed transformation might give rise to over segmentation and it sensitive to noise.In order to overcome the inherent drawback of watershed algorithm-over-segmentation,a new method Hybrid Watershed and Improved FCM（HWIF） is proposed,which uses non-linear filter algorithm and a modified FCM algorithm to improve initial segmentation result obtained by the watershed transformation.This method uses information of regions gray and information between regions sufficiently compared with meanshift and region-merge method.Experiment result shows the proposed algorithm overcome the watershed algorithm-over-segmentation efficiently and obtain good segmentation.

关 键 词：PGF滤波算法 分水岭 模糊C均值 特征散度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]