预处理部分

在文本预处理部分实现了中文、外文和特殊字符的分离，同时实现了停止词（stopword）的删除。

In the part of text pretreatment , has realized separation of Chinese , foreign and the special character , and has realized deletion of " stop word " .

论文最后介绍了基于VC的计算机用户界面的设计和编程，以及模拟预处理部分与数字信号处理部分的接口规范。

Finally , the Visual C + + software programming of computer interface , and the interface specification between analog preprocessing module and digital signal processing module are described .

在图像的预处理部分中，本文采用了分段线性函数增强图像、中值滤波去噪、几何矫正、Hough变换倾斜矫正等操作。

The piecewise linear function to enhance the image , median filter , geometric correction , Hough transform are finished in the image preprocessing .

本文在TETRA语音编码的预处理部分引入了数值滤波算法。

An algorithm using numerical value filter is introduced to pre-process original speech signal before inputting it into the speech encoder of TETRA .

图像预处理部分设计了中值滤波模块、亮度／对比度控制模块、Bayer格式转换模块、色彩平衡模块、Gamma补偿模块。

Image pre-processing design is including the modules of mean filter , brightness / contrast controler , the Bayer format conversion , color balance , and Gamma compensation .

在手势图像的预处理部分，运用Roberts梯度算子对手势图像作锐化处理，突出图像边缘部分。

Gradient Elution In the part of pre-processing , firstly performs image sharpening by means of Roberts operator to outstand gesture contour , and last we get the binary image of the hand gesture .

最后本文在这个新型的算法框架基础上设计了一个KDD原型系统，并实现了其中的基于粗糙集技术的数据预处理部分和基于改进后的决策树算法的分类器部分和预测器部分。

At last , According to the new algorithm framework we designed a KDD system which completed pre-processing program based on RS , and completed the classification based on improved decision trees algorithm and prediction model of the algorithm .

通过对PowerPC结构的总线协议的分析，总线接口部分主要由指令预处理部分、地址总线处理部分、数据总线处理部分和数据后处理部分组成，完成微处理器和外部总线的数据交互。

It will become the basis of Shared Bus . Though the analysis about the PowerPC Bus , there are four parts in BIU : Instruction Pretreatment Part , Address Bus Treatment Part , Data Bus Treatment Part and Data Pos-treatment Part .

此外在图像预处理部分提出了一种改进的直方图均衡化算法。

We give an improved histogram equalization algorithm for image enhancement together .

预处理部分涉及到指纹有效区域的提取、指纹图的增强和指纹细化。

Fingerprint Preprocess includes Fingerprint Foreground Extraction , Image Enhancement and Thinning .

整个系统包括数据采集部分和预处理部分。

The total system includes the data acquisition part and pretreatment part .

在预处理部分该方法使用了线性光照拟合的预处理方法以减轻光照的影响。

In pretreatment , the technique of linear lightness fitting is used to reduce the influence of the lighting variance .

图像预处理部分主要包括平滑处理、目标增强与阈值分割，这一环节主要为图像特征提取和识别作准备。

Image pre-processing including image smoothing , target enhancement , image thresholding , make image easier for feature extracting and recognizing .

针对“膜法回收大豆乳清中的生物活性物质”工艺中的预处理部分进行研究。

This study was aimed to solve the pretreatment problem in membrane processes for recovering physically functional substances from soy whey .

它主要由网页爬行部分，本体处理部分，预处理部分，查询处理部分四部分组成。

It is composed mainly of 4 parts : website crawling , preprocessing , enquiring and processing , and ontological processing .

每节内容分别结合实验数据进行了分析，数据的预处理部分还结合地图，给出了处理后的效果。

Experimental data is analyzed in the contents of every section . Effects of data pre-processing are given combined with maps .

图像增强技术是数字图像处理中的一项基本技术，是图像处理系统中预处理部分的重要一环。

Image enhancement is one essential technique of the digital image processing techniques . It is an important link in the image processing system ;

该方案对整个交换机进行结构的划分，并且阐述了各个部分的具体功能。2.对信元预处理部分进行了详细的设计。

The classification and function of each component of the switch are described . 2 . A detailed design of cell preprocess was given .

这种算法的处理程序可作为测井解释系统预处理部分的一个模块，并能用子计算机自动逐层分析和岩相分析。

The processing program mode can be used as a part of log pre-processing system and applied to the automatical bed-to-bed interpretation and facies analysis .

在预处理部分，对原始图像进行分块处理，并根据以上两种方案生成图像块映射序列。

In the pretreatment part , the original image is disposed by segmentation , and image mapped sequence is formed via the above mentioned two schemes .

有别于传统声纹识别系统的是，该识别系统的预处理部分使用言语过滤的方法，特征提取过程采用情感补偿的办法。

The traditional phrase filtering methods are inclined to measure the cohesion of the inner words , and own less discriminate ability with these active noisy .

数据预处理部分经过叶片理论型线的冗余点剔除，进、出汽边圆弧离散以及理论型线的偏置等步骤，可实现理论型线与实测型线数据格式的统一；

In the data preprocessing step , By removing redundant data , Dispersing inlet and outlet circle , offsetting the blade profile , data format is unified .

本文对每部分的算法进行了详细分析，预处理部分采用了改进的基于灰度差值的快速中值滤波算法。

In this paper detailed analysis of every part of the algorithm , the pre-processing part gived the fast median filtering algorithm based on gray level difference .

该系统的数据预处理部分运用了视图机制、主题管理、语言场理论等思想方法，对基于各种关系型数据库的知识发现工具的实现进行了有益的尝试，并对未来的工作做了展望。

The paper would be a helpful attempt to implement data mining system based on various relationship data bases and to deliver prospects for future works as well .

预处理部分主要包括剔除飞点、漏点，去掉零点并保存零点的信息，和对签名进行归一化处理。

During the preprocessing , it mainly includes eliminating flying-points false-zeros , getting rid of effective zeros and saving information of effective zeros , normalizing wave-form of signature ;

接着，在数据预处理部分，设计了在应用层收集点击流数据并且对其进行实时预处理的方法；

Next , in the part of data preprocessing , we design a method of collecting click-stream data in the application server layer and preprocessing them with real time ;

图像预处理部分包括图像分割、边缘检测、去噪、数学形态学处理等技术，目的是计算出胸环靶圆心。

Image preprocessing includes image segmentation , edge detection , noise reduction , and mathematical morphology processing technology . The purpose is to calculate the center coordinate of the target .

在水下声图像的预处理部分，针对声图像所受噪声干扰大、边缘模糊的缺点，深入研究了形态学滤波的相关理论和方法。

To solve the disadvantages of heavy noisy disturbance and edge blurring , we thoroughly do research on relative theories and methods of morphological filtering in the pre-processing part of acoustic images .

对调制识别预处理部分进行了研究，主要包括调制信号载波频率估计和数字调制信号符号速率估计两个部分，给出了实现预处理的几种常用方法。

Researched on the preprocessing part of modulation recognition , which mainly included the carrier frequency estimation and symbol rate estimation of digital modulation signals . Then several commonly used preprocessing methods are presented . 4 .

天空背景下红外小目标图像的分割与聚类是检测和识别目标过程的预处理部分。

The segmentation and clustering of infrared small target image in a sky background is considered in this paper , which is the preprocessing part of the detection and recognition of moving small target in an infrared image sequence .