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基于混合分水岭变换和模糊C均值的图像分割算法
引用本文:詹继勇.基于混合分水岭变换和模糊C均值的图像分割算法[J].重庆职业技术学院学报,2010,19(4):158-160.
作者姓名:詹继勇
作者单位:重庆电子工程职业学院,重庆,401331
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,本文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,提出了一种新的基于混合分割算法——IHWF(Improved Hybrid Watershed and 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。试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。

关 键 词:PGF  分水岭  模糊C均值  特征散度

Hybrid Method of Image Segmentation Based on Watershed Transform and Fuzzy C-means
TANG Jiyong.Hybrid Method of Image Segmentation Based on Watershed Transform and Fuzzy C-means[J].Journal of Chongqing Vocational& Technical Institute,2010,19(4):158-160.
Authors:TANG Jiyong
Institution:TANG Jiyong (Chongqing College of Electronic Engineering, Chongqing 401331, China)
Abstract: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 method of image segmentation IHWF (Improved Hybrid Watershed and FCM) is proposed, which uses non-linear filter algorithm and a modifies 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.
Keywords:PGF
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