支持向量学习机在点云去噪中的应用 关键词：点云；支持向量机；去噪；分类 [gap=1027]Key words：point clouds；support vector machine；denoising；classify
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文章摘要信息 关键词 ： 自适应;最优邻域;散乱点云;降噪 [gap=863]Keywords : self-adaptive;optimal neighborhood;scatter point cloud;denoising
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image denoising 图像去噪 ; 图像降噪
Denoising algorithm 去噪算法
speech denoising 语音去噪
denoising autoencoder 去噪自编码器
denoising method 去噪方法
soft-thresholding denoising 软阈值去噪
denoising map 去噪映射
To achieve a good performance in this respect, a denoising algorithm has to adapt to image discontinuities.
为了实现良好的性能在这方面，去噪算法，以适应图像的不连续性。
The experiment shows that image denoising using the robust local threshold performs better than that using the universal threshold.
用均方差衡量去噪性能，实验表明用鲁棒局部阈值去噪法好于全局阈值去噪法。
This method is proved by experimental results to have higher computering speed and better denoising performance than traditional segmentation.
实验结果证明该方法与传统的图像最大熵分割方法相比，有远算速度快、抗噪能力强的优点。
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