noised

英 [nɔɪzd]

美 [nɔɪzd]

网络  喧闹声; 噪声; 响声; 谣传

双语例句

• It was noised about that the foreign minister intended to resign.
  外界传说外交部长打算辞职。
• In this thesis, previous works on MRI image segmentation are summarized before a new image segmentation algorithm combining NLM and FCM is proposed. It is proved that the proposed algorithm improves the accuracy of the image segmentation of noised MRI images.
  本文对前人在MRI图像分割方面的工作进行了系统地总结，并在此基础上提出了一种结合NLM算法思想的FCM方法，提高了噪声水平较高的MRI图像的分割的准确性。
• Analysis of Co-Correlation Process Gain Loss by Using Noised Reference Signal
  样本含噪情况下相关处理增益损失分析
• Finally, it studies how to obtain the best result using generalized Hilbert transform in noised signal edge-detection.
  最后，总结出广义希尔伯特变换如何在含噪信号的边缘检测中取的最佳效果。
• The analysis system receives sampling data from the hardware. Due to the interference, the signal is noised.
  分析系统接收来自硬件采集系统所采集的心音数据，由于各种干扰的存在，实际采集到的心音信号质量比较差，因此首先探讨了采样数据的软件去噪处理。
• Before denoising, the edge of a noised image was detected with small-scale LOG operator which had higher orientation precision, and the image edge was smoothed with average filter to reduce a great lot of isolated point.
  该方法在去噪前，先用定位精度高的小尺度LOG算子检测图像的边缘，对检测出的边缘进行均值平滑滤波，以减少边缘图像中的孤立点噪声；
• The traditional way is to obtain the sub-image by sampling the noised image in spatial or frequency domain, then calculate its variance to replace that of the original noise.
  传统方法是通过空域或频域采样，得到该子噪声图像，然后直接对其估计方差，它对图像信息的分布有要求。
• Experimental results show that the proposed method locates edges more precisely for noised images with straight edges.
  实验表明，对于边缘主要表现为直线而其他位置光滑的图像，该检测方法抗噪声更强，定位更准确。
• The real seismic signal can be efficiently extracted from the noised signals by this method without knowing its statistic features.
  该方法在不提供地震信号背景噪声统计特性的前提下，能有效地去除地震信号中的噪声和干扰，实现地震信号的滤波。
• We propose a novel context-based image denoising method. It can effectively preserve the strong and weak edges in the image and experimental results show that processing noised images with this method can improve the performance of CAD system.
  我们提出了一种新的基于上下文的自适应图像去噪算法，它能够有效地保持图像的强弱纹理边界，并通过实验验证了噪声图像经过该方法去噪后可以提高CAD系统的性能。