Soft thresholding method has been a standard procedure in signal de-noising.
软阈值消噪是信号消噪中的标准算法。
Besides, the entropic thresholding method is applied to improve the quality of image.
论文中还引入最大熵进行阈值处理，图像质量得到改进。
Otsu's method (1979) is considered as a good thresholding method for image segmentation.
的阈值化法被认为是一种良好的图象分割方法。
A thresholding method is proposed based on edge analysis combined with projection technique.
在此基础上提出了一种基于边缘分析的二值化算法的投影判断法。
In this paper, a novel thresholding method based on human visual perception and isoperimetric theory is presented.
提出一种融合视觉感知和等周理论的图像阈值分割方法。
A new fuzzy thresholding method of image segmentation is presented which is based on the two-dimensional histogram.
把二维直方图方法应用于模糊门限分割中，提出了一种基于二维直方图的模糊门限分割方法。
Experimental results show that the thresholding method based on relative entropy coefficient in this paper is feasible.
实验结果表明，本文提出的关联熵系数阈值分割方法是可行的。
By analyzing the traditional thresholding methods (such as Otsu and Kapur), a new approach using the adaptive thresholding method is presented.
针对金相图中分割问题，在分析对比传统的全局阈值分割方法的基础上，提出了一种自适应阈值分割方法。
Experimental results show that the segmentation quality of some images using new fuzzy entropy thresholding method is better than that of classical fuzzy entropy.
实验结果表明，该修改是可行的，对有些图像相对求和型模糊熵分割法能获得更好的分割效果。
One-dimensional minimum error thresholding method assumed that the histogram distributions of object and background are governed by a mixture Gaussian distribution.
一维最小误差阈值法假设了目标和背景的灰度分布服从混合正态分布。
To determine the optimal thresholds in image segmentation, a new multilevel thresholding method based on particle swarm optimization (PSO) is proposed in this paper.
为确定图像分割的最佳阈值，基于粒子群优化算法提出了一种多阈值图像分割方法。
Based on the representation of three typical thresholding methods for image segmentation and the analysis of their performances, the scope of each method was mentioned.
本文在介绍了三种具有代表性的图像阈值分割法的基础上，通过对它们的性能进行分析比较，给出了这三种阈值分割法的适用范围。
Entropy thresholding method is an automatic technique for thresholding of digital images based on gray level-gradient co-occurrence matrix and the maximum entropy principle.
它包括二维匹配滤波预处理以增强血管的灰度，以及用灰度-梯度共生矩阵的最大熵阈值化方法。
The moment-preserving thresholding method is used to pick-up targets, the mass centroid tracking algorithm and linear-fitting predicting approach are used to tracking targets.
采用矩持阈值分割方法提取目标，采用质心跟踪算法及基于线性微分拟合的记忆外推跟踪技术跟踪目标。
The present method for noise reduction with wavelet transform is based on the thresholding method and threshold selection will depend on the estimation of the noise standard deviation.
目前的小波去噪绝大多数都是基于阈值决策的方法，而阈值选择往往都是建立在对信号小波变换系数的方差估计上。
Experimental results on a series of images including nondestructive testing ones show that authors' method outperforms several existing classic thresholding methods in segmentation quality.
在工业无损检测等一系列图像上的实验结果表明，与现有的几种经典阈值分割方法相比，本文方法的分割效果更好。
The performance of the adaptive binarization thresholding method has been compared with that classical optical correlator in the areas of correlation peak to and SNR (signal to noise ratio).
和传统的联合变换相关器结果比较，自适应阈值法对于输出的相关峰值、信噪比等主要参数都有明显提高。
On the other hand, the characteristics of ship target in high-resolution SAR image are analyzed. The KSW double thresholding method is proposed to ship detection in the high-resolution SAR image.
另一方面，分析高分辨率SAR图像舰船目标特点，提出了利用KSW双阈值分割进行检测的算法。
By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method.
该方法通过定义图像的平滑性测度，采用模糊增强技术对图像的灰度直方图进行增强，然后在增强的直方图上，利用自适应多阈值分割方法进行图像分割。
This paper presents a new method for image segmentation via adaptive thresholding.
本文介绍一种新的自适应门限图象分割方法。
Soft Thresholding Wavelet-based Radial Basis Function Neural network (STWRBFN) method was developed to perform simultaneous quantitative analysis of multicomponent mixtures.
建立了一种小波软阈值径向基函数神经网络(STWRBFN)方法，同时定量分析了多组分混合物。
This method avoids the small dynamic range in global thresholding and misjudgement caused by fixed divided regions in adaptive thresholding.
本方法避免了整体阈值法动态范围小和传统自适应阈值法固定分区所造成的误判。
Image thresholding segmentation method based on fuzzy partition entropy has good segmentation performance and becomes a kind of extensive application method in image segmentation field.
基于模糊划分熵的图像阈值化分割方法因具有良好的分割性能已成为图像分割广泛应用的方法之一。
A binarization method for digital camerabased document image was proposed. The method is a combination of the global thresholding, local thresholding and the gray gradient method.
提出了一种数码相机拍摄的文本图像的二值化方法，该方法是全局阈值、局部阈值与灰度梯度方法的结合。
This paper proposes a new image thresholding segmentation method based on universal information law.
提出基于万有信息定律的图像阈值分割方法。
The method eliminates impulse noises by median filtering then extracts edges by Otsu's thresholding based on local entropy of image, connects discrete edges and detects objects regions.
该方法首先进行中值滤波消除图像脉冲噪声，然后计算图像局部熵进行阈值选择提取目标边缘，最后进行边缘连接分割出目标区域。
The improved method proposed in this paper is soft-hard thresholding denoising according to mean approximation.
提出的改进方法是利用均值逼近的软硬阈值折中法。
Wavelet thresholding technology is using the sparse property of wavelet representation and diagonal filter for signal denoising . This method is nearly optimal in many signal spaces.
小波阈值降噪技术利用小波变换表示信号的稀疏性质，使用对角形式的阈值滤波器达到信号降噪的目的，这个方法在很多信号空间上是近似最优的。
Wavelet thresholding technology is using the sparse property of wavelet representation and diagonal filter for signal denoising . This method is nearly optimal in many signal spaces.
小波阈值降噪技术利用小波变换表示信号的稀疏性质，使用对角形式的阈值滤波器达到信号降噪的目的，这个方法在很多信号空间上是近似最优的。
应用推荐