基于轮廓波变换的模糊聚类图像分割

Fuzzy Clustering Image Segmentation Based on Contourlet Transform

  • 摘要: 提出基于轮廓波变换的模糊聚类图像分割算法,从变换域的角度提高传统聚类算法的抗噪声能力.首先用轮廓波变换对含噪声图像消噪,然后再进行聚类图像分割.实验结果表明:新算法能够获得较好的图像分割效果和质量

     

    Abstract: Fuzzy clustering image segmentation based on contourlet transform was proposed in this paper.The noise immunity performance of traditional clustering algorithm was improved from another angle by using contourlet transform.The image containing noise was firstly denoised by contourlet transform.Secondly,the denoising image was segmented by clustering algorithm.Experimental results show that better image segmentation result can be obtained by using this new algorithm

     

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