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计算图像纹理共生矩阵及共生矩阵相关系数、熵等几个特征值,供后续的分类识别应用。提供了友好的操作界面。觉得最好的应用就是用于人脸识别的样本训练。-calculated image texture symbiotic matrix and symbiotic correlation coefficient matrix, some features, such as entropy values for the follow-up to the recognition and classificat
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This an digit recognition application. (OCR or ICR application). First you draw a digit in the picturebox. Then the image processing begins and recognize the digit and returns you the result. I used correlation matching algorithm for character recogn
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光盘中存放的是书中涉及的源代码,为了便于读者学习,已将完整的程序分割开,读者在使用的时候,最好按照书中介绍的内容一步一步的实现。其中第1章提供的是相关算法的核心程序,第5章由于是一个综合的商业程序,涉及到各种技术,如果读者需要图像识别部分的程序,可以发邮件至2wintech@126.net与我们联系。另外,书中涉及到的图片等资源,保存在光盘的对应目录下。-stored in the CD book is the source code, in order to help readers lear
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基于Processed histogram的人脸识别方法,方法简单,识别率高,参考文献“Face Recognition using processed histogram and phase only correlation”-Recognizing objects from large image databases, histogram based methods have proved simplicity and usefulness in last decade. Initially
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采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码,OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshi
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High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of t
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提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先,从每幅人脸图像中手工定
位34个基准点,作为面部表情图像的几何特征,同时采用Gabor小波变换方法对每幅表情图像进行变换,并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征;其次,利用典型相关分析技术对几何特征和Gabor特征进
行特征融合,作为表情识别的输人特征;然后,利用模糊核判别分析方法进一步提取表情的鉴别特征;最后,采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和
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压缩包包括以下几个功能实现的opencv源代码:canny边缘检测算法实现、高斯背景建模、背景差分法实现边缘检测、图像颜色分布直方图的相关处理、人脸识别算法的实现。-Compressed package includes the following functions to achieve the opencv source code: canny edge detection algorithm, Gaussian background modeling, background subtrac
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图像识别算法:二维典型相关分析在小样本图像识别上的应用!-Image recognition algorithm: two-dimensional canonical correlation analysis in image recognition on small sample application!
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一个Java实现的基于内容的图像检索工具包,可用来提取图像的颜色特征、纹理特征(Gabor Filter)以及形状特征,并在此基础上判断图像相关性。-Java implementation of a content-based image retrieval toolkit, which can be used to extract the image' s color features, texture features (Gabor Filter), and shape feature
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利用Matlab软件平台对JTC进行了图像识别仿真实验,得到了二维及三维相关输出图像,显示出尖锐的相关峰。仿真实验表明:联合变换进行图像识别中存在强烈的零级干扰,干扰信号是有用信号的7.14倍,输出结果不理想;采用功率谱相减法可以消除零级强干扰,进而提高了图像的识别能力。-Simulations of joint transform correlator (JTC) using Matlab is implemented, and the 2-D and 3-D drawings of the
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The Principal Component Analysis (PCA) is one of the most successful techniques that have
been used in image recognition and compression. PCA is a statistical method under the broad
title of factor analysis. The purpose of PCA is to reduce the la
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其中第1章提供的是相关算法的核心程序,第二章为细胞识别统计系统,第三章为基于图像处理的相机自动调焦系统,第四章为运动检测系统,第5章由于是一个综合的商业程序,涉及到各种技术。
-Chapter 1 provides the core program of the correlation algorithm, Chapter II of the statistical system of the cell recognition, Chapter auto-focus camera based
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TwoDimensional Canonical Correlation Analysis
for Face Image Processing and Recognition
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利用点提取算法和相关系数法进行影像匹配,即在两幅影像之间识别同名点-Extraction algorithm and the use of the correlation coefficient method for image matching, ie, between the two images of the same name recognition points
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For the detection of sign each frame is analysed.
First the image is Converted into gray scale image and then threshold is performed.
Then by using blob analysis portion of red part is extracted.
Then this extracted part is compared with each t
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包括主成分分析、因子分析、贝叶斯分析,iqyBrgz参数在MATLAB中求图像纹理特征,可以实现模式识别领域的数据的分类及回归,相关分析过程的matlab方法,zZoddEd条件调试通过可以使用,旋转机械二维全息谱计算。- Including principal component analysis, factor analysis, Bayesian analysis, iqyBrgz parameter In the MATLAB image texture feature, You ca
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有均匀线阵的CRB曲线,使用高阶累积量对MPSK信号进行调制识别,相关分析过程的matlab方法,isodata 迭代自组织的数据分析,使用拉亚普诺夫指数的公式,粒子图像分割及匹配均为自行编制的子例程。- There ULA CRB curve, Using high-order cumulants of MPSK signal modulation recognition, Correlation analysis process matlab method, Isodata iterativ
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首先建立一个标准的人脸模板,由包含局部人脸特征的子模板构成,
然后对一幅输入的人脸图像进行全局搜索,基于人脸灰度模板的模式匹配计算与标准人脸模板中不同部分的相关系数,通过预先设置的最小匹配门限来判断该图像窗口中是否包含人脸。-First, establish a standard template face by face feature contains the local sub-template structure,Then a face image input global sear
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空间滤波。光学联合变化相关识别实验。图像相关识别的目的是从一些图像中找其中是否含有某一特定图像。图像识别在许多方面有重要应用价值。-Spatial filtering.Optical joint changes related to recognition experiment.The purpose of image correlation recognition some images to find whether contains a specific image.Image reco
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