...
首页> 外文期刊>Biocybernetics and biomedical engineering >An analytical method for the adaptive computation of threshold of gradient modulus in 2D anisotropic diffusion filter
【24h】

An analytical method for the adaptive computation of threshold of gradient modulus in 2D anisotropic diffusion filter

机译:2D各向异性扩散滤波器中梯度模量阈值的自适应计算分析方法

获取原文
获取原文并翻译 | 示例
           

摘要

In spite of the extensive application of Anisotropic Diffusion (AD) filter in software packages for medical image analysis, denoising and edge preservation offered by it depends exclusively on the selection of the value of Threshold of Gradient Modulus (TGM). Tuning the TGM to its optimum value through trial and error is subjective and tiring. An analytical model to compute the optimum value of TGM adaptively from the mean gradient of the image itself is proposed in this article. The qualitative examination of the gradient and true edge maps of the original and restored Magnetic Resonance images revealed that analytically computed TGM ensures best trade-off between noise suppression and edge preservation. (C) 2017 Nalecz Institute of Biocybemetics and Biomedical Engineering of the Polish Academy of Sciences. Published by Elsevier B.V. All rights reserved.
机译:尽管在用于医学图像分析的软件包中的各向异性扩散(AD)过滤器的广泛应用,但其提供的去噪和边缘保存仅仅取决于梯度模量(TGM)的阈值的选择。 通过试验和错误将TGM调整为其最佳值是主观和疲倦。 在本文中提出了一种分析模型,以自适应地从图像本身的平均梯度自适应地计算TGM的最佳值。 对原始和恢复的磁共振图像的梯度和真正边缘图的定性检查显示,分析计算的TGM确保了噪声抑制和边缘保存之间的最佳权衡。 (c)2017年纳雷斯州博士科学院生物群和生物医学工程研究所。 elsevier b.v出版。保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号