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首页> 外文期刊>Research journal of applied science, engineering and technology >A Method Based on Geodesic Distance for Image Segmentation and Denoising
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A Method Based on Geodesic Distance for Image Segmentation and Denoising

机译:基于测地距离的图像分割与去噪方法

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The study introduces image segmentation and denoising method which is based on geodesic framework and k means algorithm. Our method combines geodesic with k means algorithm. What's more, a denoising method is applied to denoise. We optimize the distance function of k means algorithm to achieve our goals. This method can segment and denoise image which contains a lot of noise effectually.
机译:本文介绍了基于测地线框架和k均值算法的图像分割与去噪方法。我们的方法将测地线与k均值算法相结合。而且,将去噪方法应用于去噪。我们优化k均值算法的距离函数以实现我们的目标。该方法可以有效地对包含大量噪声的图像进行分割和去噪。

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