节点文献
一种保持图像细节的自适应的去噪平滑算法
A maintenance of the detail image auto-adapted denoising smooth algorithm
【摘要】 针对三维相干切片数据所形成的二维图像,提出一种新的自适应的保持图像边缘细节的图像平滑算法。该算法通过平滑区域及灰度均匀度来选择受噪声干扰的最小区域,并以此来对目标像素进行相应处理。实验证明,本算法能在有效去噪平滑的同时,很好地保持了图像边缘细节,具有很高的实用价值。
【Abstract】 Aimed at coherent slices 3D data steming from two-dimensional images,a new auto-adapted edge maintaining details of the image smoothing algorithm is preseated.The smoothing algorithm through regional and gray uniformity is used to choose the minimum noise interference regional,to prouse the target pixels.Experiments have shown that the algorithm can be effective in smoothing denoising,while maintaining a good image edge details and has high practical value.
【关键词】 相干切片;
自适应;
图像边缘;
去噪平滑;
【Key words】 coherent slices; auto-adapted; image edge; denoising smooth;
【Key words】 coherent slices; auto-adapted; image edge; denoising smooth;
- 【文献出处】 陕西理工学院学报(自然科学版) ,Journal of Shaanxi University of Technology(Natural Science Edition) , 编辑部邮箱 ,2008年01期
- 【分类号】TP391.41
- 【被引频次】4
- 【下载频次】195