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统计滤波器     
相关语句
  statistical filter
     Window—range Variable Order Sequencing Statistical Filter and Noise Image Filtering
     变窗长秩排序统计滤波器与噪声图象滤波
短句来源
     A nonlinear statistical filter, which mixes the median filtering with the average filtering and has the properties of the two, is used for improving nuclear medical images. The filter reduces image noise and preserves the edge sharpness as well. Because o'f the local fluctuation in the nuclear image, the Anscombe transform is utilized to separate image signals from Poisson noise.
     用线性滤波器处理核医学脏器图片.造成图像边缘不清楚,从而影响了诊断.本 文用一种非线性统计滤波器——中值滤波和平均滤波相结合来处理核医学脏器图像. 这种方法综合了平均滤波和中值滤波对噪声的抑制特性和保留图像边缘的特性.考虑 到图像的局部起伏.引入Anscombe变换使图像的泊桑噪声与信号近似无关。
短句来源
     This paper using the unbalanced data structure puts forward a center weighted sequence statistical filter rapid algorithm, in the condition of considering enough the filter window. This algorithm is named the unbalanced data structure algorithm.
     利用非均衡数据结构,在充分考虑滤波窗口的条件下,提出了一种中心加权次序统计滤波器的快速算法(非均衡数据结构算法)。
短句来源
  statistic filter
     Robustness of Order Statistic Filter and Application
     次序统计滤波器的稳健性及应用
短句来源
     Methods By analyzing the adaptive optimization algorithm of weight order statistic filter,the adaptive optimization algorithm for rank selection filter has been derived.
     方法分析加权顺序统计滤波器的优化算法,由此导出秩选择滤波器的自适应优化算法。
短句来源
     Detection of Step-Structure Edge Based on Order Statistic Filter
     基于次序统计滤波器的阶跃边缘检测(英文)
短句来源
     The paper introduced the basic principles of adaptive L-order statistic filter based on local statistic properties of signals and the features of suppression of Gaussian noise and pulse disturbance.
     本文介绍了基于信号局部统计性质的、能同时压制加性高斯噪声和脉冲噪声的自适应顺序统计滤波器的基本原理。
短句来源
     The order statistic filter (OSF) is a basic class of nonlinear filtering for discrete parameter stochastic processes. Its robustness has important applications in image processing.
     离散参数随机过程非线性滤波的一种重要类型是次序统计滤波器(OSF),而研究次序统计滤波器的有效途径则是考察次序统计量的稳健性性质.
短句来源
更多       
  statistical filters
     The operation principle and realization method of several numerical filters are discussed in theory The operation principles of the classic and statistical filters, and correlative detection are emphatically analysed, and the analysis methods of various filter systems and transfer function are given, and the realization process of numerial filter is simplified to search adaptive filteration method of seismic data transmission
     从理论上讨论了几种数字滤波器的工作原理及实现方法。 着重分析了经典滤波器、统计滤波器和相关检测的工作原理,并给出了各滤波器系统的分析方法和传递函数,简化了数字滤波器的实现过程。
短句来源
  statistic filters
     Some Properties of Order Statistic Filters
     序统计滤波器的一些特性
短句来源
     Fast algorithm of order statistic filters with center weighted
     中心加权次序统计滤波器的快速算法
短句来源
     New expression for and optimization of weighted order statistic filters
     加权顺序统计滤波器的新的表示与优化算法
短句来源
     Generalized Homomorphic and Adaptive Order Statistic Filters for Image Processing
     用手图象处理的广义同态及自适应排序统计滤波器
短句来源

 

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      statistical filter
    We present a method for the calculation of the optimal statistical filter and a system of scanning of the investigated material in local zones.
          
    Conveniently, a statistical filter based on global statistics has already been recently been developed for image denoising.
          
    First, the output gap usually comes from some trend-extraction procedure with a statistical filter applied directly to real output.
          
    We show that more can be achieved than simply combining the sensor data within a statistical filter.
          
      statistic filter
    The effects of the various parameters of the model will be discussed, and the choice of the predetection order statistic filter will also be examined.
          
    The stack filter representation of an order statistic filter provides an efficient tool for the theoretical analysis of the filter.
          
      statistical filters
    We address the problem of predicting optimal filter parameters, represented by a threshold test-value for statistical filters and by a cut-off frequency for low-pass filters.
          
    Classification of wheat grains by digital image analysis using statistical filters
          
    The obtained EEG spectral parameters were compared with the corresponding parameters of the resting baseline using paired Wilcoxon tests in the sense of statistical filters to depict those differences which differ clearly from changes by chance.
          
    It is difficult to eliminate spurious vectors by using regular statistical filters when these vectors occupy compact areas in the domain.
          
    With additional statistical filters applied, the end-result was the creation of seven school division clusters.
          
      statistic filters
    This deque is applied to three problems: computing order-statistic filters, finding a smallest area convex quadrilateral in the plane, and computing "batched" order statistics.
          
    Stack filters belong to the class of non-linear filters and include the well-known median filter, weighted median filters, order statistic filters and weighted order statistic filters.
          
    These methods include linear averaging operations, a variety of order statistic filters and the hybrid alpha-trim operation.
          


    This paper poses the mathematical model of human nail bed microcir-culational pictures.The order statistic filter is derived and is used for the picture to get good effect on both preserving the capillary edges and killing the noise.Common digital image processing methods, such as edge detection, binary value image and color enhancement are used in the processed pictures and the clear black-white and color pictures are obtained.The parameters, such as the width G and the width ratio of input and output branch,...

    This paper poses the mathematical model of human nail bed microcir-culational pictures.The order statistic filter is derived and is used for the picture to get good effect on both preserving the capillary edges and killing the noise.Common digital image processing methods, such as edge detection, binary value image and color enhancement are used in the processed pictures and the clear black-white and color pictures are obtained.The parameters, such as the width G and the width ratio of input and output branch, the distance between them in arbitrary cross section in capillary and the capillary length, are also obtained by computer automatically. This paper also poses a model of speed measurement suitable for this kind of pictures.The average and instantaneous speed of the blood, the distribution of speed area are measured with the model.

    本文首先给出了血液微循环图片的数学模型,推导并应用了顺序统计滤波器,收到了既滤出噪声又保持血管边缘的较理想的效果.对已滤波的图象综合应用边缘跟踪、综合检测、图象二值化、彩色增强等图象处理方法,获得了清晰的毛细血管的彩色和黑白图象,并用计算机自动地测出了人体甲皱毛细血管任意截面处的上、下管径,管距,管长以及动、静脉宽度之比诸参数.为了精确地测量血流速,我们提出了一种适用于此类图象的相关测速模型,对血流的平均速度、瞬时速度以及速度面分布进行了实际测试.收到了满意的效果.

    The image noise filters are classified into optimal filters, a daptive weighted mean filters, and order statistics filters. The recently researched results about the three kinds of filters are introduced, which include the local minimum mean square error filter, σ filter, confidence filter, the modified neighborhood mean filter, α-trimmed mean filter, the modified trimmed mean filters. The performance and procesing effect of these filters are analysed and evaluated.

    本文将图象噪声滤波器分为最佳滤波器、自适应加权均值滤波器和顺序统计滤波器三类。分别介绍了这三类滤波器的最新研究成果。其中包括最小局部均方误差滤波器,σ滤波器,置信度滤波器,修正的邻域均值滤波器,α切边均值滤波器及其改进形式。最后分析和评价这几种滤波器的性能和处理效果。

    In this paper,two new nonlinear filters for filtering signal-dependent noise,additive noise and impulsive noise in image processing are proposed.The first filter proposed is an order statistic filter based on a generalizecd homomorphic transformation.The second is an adaptive order statistic filter with a variable th- reshold,which changes according to the noise level.Both of these filters perform well for the different kinds of noise encountered in image processing.they supp- ress signal-dependent noise,additive...

    In this paper,two new nonlinear filters for filtering signal-dependent noise,additive noise and impulsive noise in image processing are proposed.The first filter proposed is an order statistic filter based on a generalizecd homomorphic transformation.The second is an adaptive order statistic filter with a variable th- reshold,which changes according to the noise level.Both of these filters perform well for the different kinds of noise encountered in image processing.they supp- ress signal-dependent noise,additive noise and impulsive noise better than medi- an filters,order statiatic filters,general nonlinear mean filters,modified trimm- ed mean filters,ard double window modified trimmed mean filters.They also preserve the edges of an image better than median filters and are simple to implo- ment.

    本文提出了两种在图象处理中可同时滤除加性噪声、与信号有关的噪声以及脉冲噪声的新型非波性滤波法。第一种是基于广义同态变换的排序统计滤波器,另一种是具有可变门限的自适应排序统计滤线器。两种滤波器对图象处理中常遇到的各类噪声均有良好的滤波效果。它们对加性白噪声、信号有关噪声以及脉冲噪声的抑制能力优于中值滤波器、排序统计滤波器、非线性平均滤波器、修正剪裁平均滤波器和双窗口修正剪裁平均滤波器。它们保持图象边缘的能力优于中值滤波器。在实现上也比较简单。

     
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