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ENVI_IDL二次开发中文培训教程.IDL是VC、VB、JAVA、FORTRAN、MATLAB、OPENGL等语言的集成。非常棒！！！在地球科学（包括气象、水文、海洋、土壤、地质、地下水等）、医学影像、图像处理、GIS系统、软件开发，大学教学，实验室，测试技术，天文，航空航天、信号处理，防御工程，数学统计及分析，环境工程等很多领域，IDL语言都可以得到广泛而又深远的应用。-ENVI_IDL Chinese secondary development training course. IDL i
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这是一个基于matlab维纳滤波的m程序，多用于信号处理和图像处理，还包含两个应用，供大家参考。-This is a Matlab-based Wiener filtering m procedures used for signal processing and image processing. also includes two applications, for your reference.
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图形图像处理中f-x滤波MATLAB源码程序处理包。能有效去除多种干扰波，应用广泛。-Graphic image processing procedures fx filter MATLAB source package. Can effectively remove a variety of interference wave, wide range of applications.
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《MATLAB 高级应用——图形及影像处理》一书的附录部分，包括功能、语法、示例，已为各函数做好书签-MATLAB advanced applications- graphics and image processing, an appendix to the book, including function, syntax, examples, has been doing a good job for the bookmark function
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CellProfiler is designed for biologists without training in computer vision or programming to quantitatively measure cells in thousands of images automatically. It has a user-friendly graphical interface.
CellProfiler has a modular, flexible infras
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对于数字图像处理技术中，图像的编码分为RGB和HIS，这个资料讲述了在matlab中如何将两种编码转换，在实际应用中非常广泛！-For digital image processing technology, image coding is divided into RGB and HIS, this information describes how the two kinds in the matlab code conversion, in a wide range of practica
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基于MATLAB的图象处理的具体应用程序。-MATLAB-based image processing of specific applications.
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本文设计基于DCT的人脸识别系统，首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用；然后研究了人脸识别进行预处理，讨论了人脸识别预处理的其他方法，分析各种方法的利弊，最后采用DCT（离散余弦变换）实现人脸图像预处理中的降维处理；接下来对人脸图像的特征提取进行了研究，简单叙述了几何特征提取和代数特征提取，同时深入研究了基于DCT和PCA变换的人脸图像特征提取，从而实现是否对人脸识别系统识别率有所提高的研究；对于分类器的选择，本文对两种分类器进行了探讨，即最近邻分类器和B
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图像增强的目标是改进图片的质量，例如增加对比度，去掉模糊和噪声，修正几何畸变等；图像复原是在假定已知模糊或噪声的模型时，试图估计原图像的一种技术。
图像增强按所用方法可分成频率域法和空间域法。前者把图像看成一种二维信号，对其进行基于二维傅里叶变换的信号增强。采用低通滤波（即只让低频信号通过）法，可去掉图中的噪声；采用高通滤波法，则可增强边缘等高频信号，使模糊的图片变得清晰。具有代表性的空间域算法有局部求平均值法和中值滤波（取局部邻域中的中间像素值）法等，它们可用于去除或减弱噪声。
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在MATLAB中求图像纹理特征，用于图像处理及识别应用-Seeking in the MATLAB image texture features for image processing and recognition applications
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本书全面介绍了matlab的全部命令的描述，语法和应用，包括数值计算，数据分析和绘图，图像处理等。-Book is a comprehensive introduction to the full descr iption of the command matlab, syntax and applications, including numerical computation, data analysis and graphics, image processing.
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB codes for image processing applications
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图像HOG特征提取的matlab程序，适用于图像处理应用(matlab codes for HOG feature selection of images, which can be useful for image processing applications)
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在文中，提出来一个基于低秩的特征提取方法(Feature extraction plays a significant role in pattern
recognition. Recently, many representation-based feature extraction methods have been proposed and achieved successes in many
applications. As an excellent unsupervised featu
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