图像处理中值滤波器中英文对照外文翻译文献
数字图像处理外文翻译参考文献
数字图像处理外文翻译参考文献
(文档含中英文对照即英文原文和中文翻译)
原文：
Application Of Digital Image Processing In The Measurement
Of Casting Surface Roughness
Ahstract- This paper presents a surface image acquisition system based on digital image processing technology. The image acquired by CCD is pre-processed through the procedure of image editing, image equalization, the image binary conversation and feature parameters extraction to achieve casting surface roughness measurement. The three-dimensional evaluation method is taken to obtain the evaluation parameters
and the casting surface roughness based on feature parameters extraction. An automatic detection interface of casting surface roughness based on MA TLAB is compiled which can provide a solid foundation for the online and fast detection of casting surface roughness based on image processing technology.
中值滤波器脉冲噪声中英文对照外文翻译文献
中英文资料外文翻译文献
Improved 2-D Median Filter for On-Line Impulse Noise Suppressiom Abstract-An inproved 2-D median filter employing multishell concept to suppress impulse noise ,is presented.The performance of proposed filter is evaluated over image ‘LENA’,The impulsive noise is added using MATLAB utility.The modified strategy reduces the mnuber of replacement and results in better performance and simple hardware realization that is suitable for on-line implementation.
Index terms-Median Filter , Multi-shell Median Filter, Impulse Noise
I.INTRODUCTION
In TV and other imaging systems,impulse noise is a common impairment . The standard T.V.Broadcast signal is often contaminated with impulsive noise arising from various sources such as household electrical appliance and atmospheric disturbances.Broad banding of the signal further increases the level of impulsive noise. V arious filters are proposed to suppress such impairments[1].The median filter(MF)[1-2] is widely used
数字图像处理 外文翻译 外文文献 英文文献 数字图像处理
Digital Image Processing
1 Introduction
Many operators have been proposed for presenting a connected component n a digital image by a reduced amount of data or simplied shape. In general we have to state that the development, choice and modi_cation of such algorithms in practical applications are domain and task dependent, and there is no \best method". However, it is interesting to note that there are several equivalences between published methods and notions, and characterizing such equivalences or di_erences should be useful to categorize the broad diversity of published methods for skeletonization. Discussing equivalences is a main intention of this report.
IIR数字滤波器的设计外文文献以与翻译
IIR
Digita
Filter
Design
An important step in the development of a digital filter is the determination of a realizable transfer function G(z) approximating the given frequency response specifications. If an IIR filter is desired,it is also necessary to ensure that G(z) is stable. The process of deriving the transfer function G(z) is called digital filter design. After G(z) has been obtained, the next step is to realize it in the form of a suitable filter structure. In chapter 8,we outlined a variety of basic structures for the realization of FIR and IIR transfer functions. In this chapter,we consider the IIR digital filter design problem. The design of FIR digital filters is treated in chapter 10.
matlab图像处理外文翻译外文文献
matlab图像处理外文翻译外文文献
附录A 英文原文
Scene recognition for mine rescue robot
localization based on vision
CUI Yi-an(崔益安), CAI Zi-xing(蔡自兴), WANG Lu(王璐)
Abstract：A new scene recognition system was presented based on fuzzy logic and hidden Markov model(HMM) that can be applied in mine rescue robot localization during emergencies. The system uses monocular camera to acquire omni-directional images of the mine environment where the robot locates. By adopting center-surround difference method, the salient local image regions are extracted from the images as natural landmarks. These landmarks are organized by using HMM to represent the scene where the robot is, and fuzzy logic strategy is used to match the scene and landmark. By this way, the localization problem, which is the scene recognition problem in the system, can be converted into the evaluation problem of HMM. The contributions of these skills make the system have the ability to deal with changes in scale, 2D rotation and viewpoint. The results of experiments also prove that the system has higher ratio of recognition and localization in both static and dynamic mine environments.
外文翻译--数字滤波器的仿真与实现
毕业设计(论文)外文资料翻译
院系电子信息工程
专业电子信息工程
学生姓名
班级学号
外文出处百度文库
附件：1.外文资料翻译译文（约3000汉字）；
2.外文资料原文(与课题相关的1万印刷符号左右)。
英文原文
The simulation and the realization of the digital filter With the information age and the advent of the digital world, digital signal processing has become one of today's most important disciplines and door technology. Digital signal processing in communications, voice, images, automatic control, radar, military, aerospace, medical and household appliances, and many other fields widely applied. In the digital signal processing applications, the digital filter is important and has been widely applied.
1、figures Unit on :
Analog and digital filters
In signal processing, the function of a filter is to remove unwanted parts of the signal, such as random noise, or to extract useful parts of the signal, such as the components lying within a certain frequency range.
图像处理中英文对照外文翻译文献
中英文对照外文翻译文献
(文档含英文原文和中文翻译)
译文：
基于局部二值模式多分辨率的灰度
和旋转不变性的纹理分类
摘要：
本文描述了理论上非常简单但非常有效的，基于局部二值模式的、样图的非参数识别和原型分类的，多分辨率的灰度和旋转不变性的纹理分类方法。此方法是基于结合某种均衡局部二值模式，是局部图像纹理的基本特性，并且已经证明生成的直方图是非常有效的纹理特征。我们获得一个一般灰度和旋转不变的算子，可表达检测有角空间和空间结构的任意量子化的均衡模式，并提出了结合多种算子的多分辨率分析方法。根据定义，该算子在图像灰度发生单一变化时具有不变性，所以所提出的方法在灰度发生变化时是非常强健的。另一个优点是计算简单，算子在小邻域内或同一查找表内只要几个操作就可实现。在旋转不变性的实际问题中得到了良好的实验结果,与来自其他的旋转角度的样品一起以一个特别的旋转角度试验而且测试得到分类, 证明了基于简单旋转的发生统计学的不变性二值模式的分辨是可以达成。这些算子表示局部图像纹理的空间结构的又一特色是，由结合所表示的局部图像纹理的差别的旋转不变量不一致方法，其性能可得到进一步的改良。这
些直角的措施共同证明了这是旋转不变性纹理分析的非常有力的工具。
关键词：非参数的，纹理分析，Outex ，Brodatz ，分类，直方图，对比度
2 灰度和旋转不变性的局部二值模式
我们通过定义单色纹理图像的一个局部邻域的纹理T ，如 P （P>1）个象素点的灰度级联合分布，来描述灰度和旋转不变性算子：
01(,,)c P T t g g g -= （1）
数字图像处理论文中英文对照资料外文翻译文献
第 1 页
中英文对照资料外文翻译文献
原 文
To image edge examination algorithm research
Abstract ：Digital image processing took a relative quite young discipline,
is following the computer technology rapid development, day by day obtains th widespread application.The edge took the image one kind of basic characteristic,
in the pattern recognition, the image division, the image intensification as well as the image compression and so on in the domain has a more widesp application.Image edge detection method many and varied, in which based on brightness algorithm, is studies the time to be most long, the theory develo the maturest method, it mainly is through some difference operator, calculates its gradient based on image brightness the change, thus examines the edge, mainly
本科毕设滤波器方面的中英文翻译
Abstract:A modification of the filter design described in Arcetri Technical Report N
5/2002 is presented. The overall structure is similar, but the the digital local oscillator is moved after the rst lter and after the frequency decimation. With this modification the design proposed here presents some advantage in terms of gate usage and spectral dynamic range.
1. Introduction
In the hybrid correlator proposed for ALMA, a large fraction of the total logic and correlator cost is represented by the digital filter bank. Since the circuit is replicated in a large number of copies, even a modest reduction in complexity may have a relatively large impact on overall system cost. In report [8] a two stage tunable filter has been presented. The design, shown in fig. 2, is composed by a complex oscillator and mixer, a first decimating broad filter, a second sharp filter, and a complex to real conversion stage. The first filter has a road transition region, and thus a short FIR response time (128 taps).
数字信号处理滤波器中英对照翻译
7.1 一般形式
在这一节中， 我们将详细讨论数字滤波器的直接形式实现可称为 1 型。 我们 首先考虑一个简单的二阶滤波器。具有传递函数 (7.1.1) 具有 I/O 差分方程： (7.1.2) 直接形式实现是这种差异的框图表示。方程。它在图 7.1.1 中 示出。
图 7.1..1 二阶 IIR 滤波器的直接实现
(7.3.2)
它可以被转化为成下面的样本处理算法：
(7.3.3)
其中，第 i 部分的内部状态向量 wi 在时间 n 上定义为：
为了跟踪截面的系数和内部状态，我们将它们排列成 K×3 矩阵，其中第 i 行 保存第 i 段的相应参数。例如，如图 7.3.1 中的 k＝4，我们定义
这些矩阵的第 i 行是第 i 段的三维系数向量和状态，即
注意：b，a 是分子和分母系数向量： (7.1.9)
它们和内部状态向量 w，v 必须在主程序中声明和分配。
注意，Calloc 将内部状态 W、V 初始化为零。下面的程序段说明了 DIR 的用法：
示例 7.1.1：绘制以下过滤器的直接形式实现：
并确定相应的差分方程和样本处理算法。 解：差分方程为：
直接形式实现如图 7.1.3 所示。样本处理算法为：
然后，总体输入是 H0(z)的输入，即 x(n)=x0(n)，并且总体输出是最后一个 SOS HK1
(z)的输出，即，y(n)=yK-1(n)。对于中间阶段，第 i 部分的输出 yi(n)成为输入(i + 1)
matlab图像处理中英文翻译文献
附录A 英文原文
Scene recognition for mine rescue robot
localization based on vision
CUI Yi-an(崔益安), CAI Zi-xing(蔡自兴), WANG Lu(王璐)
Abstract：A new scene recognition system was presented based on fuzzy logic and hidden Markov model(HMM) that can be applied in mine rescue robot localization during emergencies. The system uses monocular camera to acquire omni-directional images of the mine environment where the robot locates. By adopting center-surround difference method, the salient local image regions are extracted from the images as natural landmarks. These landmarks are organized by using HMM to represent the scene where the robot is, and fuzzy logic strategy is used to match the scene and landmark. By this way, the localization problem, which is the scene recognition problem in the system, can be converted into the evaluation problem of HMM. The contributions of these skills make the system have the ability to deal with changes in scale, 2D rotation and viewpoint. The results of experiments also prove that the system has higher ratio of recognition and localization in both static and dynamic mine environments.
数字滤波器中英文对照外文翻译文献
中英文对照翻译
基于VB和Matlab的数字滤波器的设计
摘要
数字信号处理的核心是数字滤波器的设计。目前，大多数数字滤波器是基于Matlab这种高性能的数值计算并提供强大的图形显示功能的软件。 MATLAB广泛应用于工程计算，数值分析等多个领域，但它不善于开发接口。在本文中，将用VB与Matlab混合编程的方法引入到设计数字滤波器中。集成的软件可以利用VB 和Matlab的最大优势，实现过程表明，该方法简单，方便。
关键词:数字滤波器，Visual Basic，MATLAB，组件对象模型。
1.引言
如今，滤波器在相关的电子系统中很重要，因为他们存在于几乎所有的电子系统。例如，通信系统中广泛利用滤波器的将噪声和所需信号区分开来。电源供应器使用滤波器来滤除纹波和改善直流信号的质量。音频均衡器使用过滤器来放大或衰减频段的音频范围，音频质量的提高取决于房间的声学特性。数字视频由于编码和传输，需要将数字滤波器接入噪声信道，以减少噪声，依此类推。然而，滤波器的设计是一个密集的计算任务，需要一个大量数值计算得到的滤波器传递函数的任一参数或为一个滤波电路实现的元素的值。另外，在日常生活中，电脑的使用已经很普及。因此，计算机软件开发已经成为技术发展的一个重要组成部分。教育很大部分受这个发展的影响。今天，大量的软件包可用于设计滤波器，Matlab便是其中之一。 Matlab是由Mathworks公司开发，是一款高性能的数值计算软件，并提供图形显示的强大功能，它被广泛应用于工程计算，数值分析等领域。现在任何一所大学或工业都在使用Matlab，并且在电路和系统的设计等许多其它事情都会用到。其中，Matlab的主要特点是，它的一套工具箱在滤波器的设计中都可以使用。不足的是，使用这些工具箱，需要相当长的时间去掌握它们，新手才能使用它们。更重要的是，Matlab不善于开发接口。相反，VB中有一个友好的设计用户界面和开发应用程序，但它不能够计算，尤其是在数字滤波器的设计中。因此，如果我们能够在开发的过程中，利用Matlab做计算和数据图形显示的工作，并用VB写的Windows应用程序和分析计算结果，集成VB和Matlab
数字图像处理 外文翻译 外文文献 英文文献 数字图像处理
数字图像处理外文翻译外文文献英文文献数字图像处
理
Digital Image Processing
1 Introduction
Many operators have been proposed for presenting a connected component n a digital image by a reduced amount of data or simplied shape. In general we have to state that the development, choice and modi_cation of such algorithms in practical applications are domain and task dependent, and there is no \best method". However, it is
interesting to note that there are several equivalences between published methods and notions, and characterizing such equivalences or di_erences should be useful to categorize the broad diversity of published methods for skeletonization. Discussing equivalences is a main intention of this report.
数字图像处理 外文翻译 外文文献 英文文献 数字图像处理
数字图像处理外文翻译外文文献英文文献数字图像处
理
Digital Image Processing
1 Introduction
Many operators have been proposed for presenting a connected component n a digital image by a reduced amount of data or simplied shape. In general we have to state that the development, choice and modi_cation of such algorithms in practical applications are domain and task dependent, and there is no \best method". However, it is
interesting to note that there are several equivalences between published methods and notions, and characterizing such equivalences or di_erences should be useful to categorize the broad diversity of published methods for skeletonization. Discussing equivalences is a main intention of this report.
数字滤波器设计英文文献
Digital Filter Design Using Matlab
By Timothy J. Schlichter
EE 4000 Introduction to Digital Filtering
5/2/99
Submitted to: Dr. Joseph Picone
Mississippi State University
Department of Electrical and Computer Engineering
EXECUTIVE SUMMARY
A fundamental aspect of signal processing is filtering. Filtering involves the manipulation of the spectrum of a signal by passing or blocking certain portions of the spectrum, depending on the frequency of those portions. Filters are designed according to what kind of manipulation of the signal is required for a particular application. Digital filters are implemented using three fundamental building blocks: an adder, a multiplier, and a delay element.
介绍数字图像处理外文翻译
附录1 外文原文
Source: "the 21st century literature the applied undergraduate electronic communication series of practical teaching plan
The information and communication engineering specialty in English ch02_1. PDF 120-124
Ed: HanDing ZhaoJuMin, etc
Text A: An Introduction to Digital Image Processing
1. Introduction
Digital image processing remains a challenging domain of programming for several reasons. First the issue of digital image processing appeared relatively late in computer history. It had to wait for the arrival of the first graphical operating systems to become a true matter. Secondly, digital image processing requires the most careful optimizations especially for real time applications. Comparing image processing and audio processing is a good way to fix ideas. Let us consider the necessary memory bandwidth for examining the pixels of a 320x240, 32 bits bitmap, 30 times a second: 10 Mo/sec. Now with the same quality standard, an audio stereo wave real time processing needs 44100 (samples per second) x 2 (bytes per sample per channel) x 2(channels) = 176Ko/sec, which is 50 times less.
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中英文资料对照外文翻译
一、英文原文
A NEW CONTENT BASED MEDIAN FILTER
ABSTRACT
In this paper the hardware implementation of a contentbased median filter suitabl e for real-time impulse noise suppression is presented. The function of the proposed ci rcuitry is adaptive; it detects the existence of impulse noise in an image neighborhood and applies the median filter operator only when necessary. In this way, the blurring o f the imagein process is avoided and the integrity of edge and detail information is pre served. The proposed digital hardware structure is capable of processing gray-scale im ages of 8-bit resolution and is fully pipelined, whereas parallel processing is used to m inimize computational time. The architecturepresented was implemented in FPGA an d it can be used in industrial imaging applications, where fast processing is of the utm ost importance. The typical system clock frequency is 55 MHz.
1. INTRODUCTION
Two applications of great importance in the area of image processing are noise filtering and image enhancement [1].These tasks are an essential part of any image pro cessor,whether the final image is utilized for visual interpretation or for automatic an alysis. The aim of noise filtering is to eliminate noise and its effects on the original im age, while corrupting the image as little as possible. To this end, nonlinear techniques (like the median and, in general, order statistics filters) have been found to provide mo re satisfactory results in comparison to linear methods. Impulse noise exists in many p ractical applications and can be generated by various sources, including a number of man made phenomena, such as unprotected switches, industrial machines and car ign ition systems. Images are often corrupted by impulse noise due to a noisy sensor or ch annel transmission errors. The most common method used for impulse noise suppressi on n forgray-scale and color images is the median filter (MF) [2].The basic drawback o f the application of the MF is the blurringof the image in process. In the general case,t he filter is applied uniformly across an image, modifying pixels that arenot contamina ted by noise. In this way, the effective elimination of impulse noise is often at the exp ense of an overalldegradation of the image and blurred or distorted features[3].In this paper an intelligent hardware structure of a content based median filter (CBMF) suita ble for impulse noise suppression is presented. The function of the proposed circuit is to detect the existence of noise in the image window and apply the corresponding MF