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经典数字图像教程，各种常见变换源码，学习数字图像必备的工具-Classical digital image tutorials, all kinds of common-source transformation, learning digital imaging tools necessary

用于在窗口中加载colorbar的IDL源代码-For the colorbar in the window to load the IDL source code

数字图像处理实习中的几种图像处理方式 包括图像转换 几何处理 线性变换 等等 -Digital image processing internship in several image processing methods, including image conversion treatment geometric linear transformation and so on

利用Harris进行角点检测，输出测试结果，性能方面可以接受，效果较好-Carried out using Harris corner detection, the output test results, performance acceptable, better-performing

该源码是一个基于图像处理的相机自动调焦系统。-the source is based on an image processing camera auto-focusing system.

opencv的文档-opencv documentation

配套专业版源代码软件DIPA功能简介 与《实用图像处理与分析》配套的源代码软件DIPA是一套完全可执行的VC++界面源代码，界面内容除了图像的表示、读入、保存、彩色变灰度以外，还包括图像的2值化处理、微分变换、几何变换、彩色变换、参数测量、傅里叶变换、小波变换、Hough变换、模式识别、神经网络、遗传算法、图像压缩等功能，提供有近100个图像处理与分析函数的源代码。该软件主要适用于图像处理的教学和科研-Supporting the professional version of the software source code About Dipa functional and practical image processing and analysis, the source code of the software package Dipa is a fully executable VC++ Interface source code, interface elements in addition to images that read, preserve, gray color change also includes image processing of 2 values, differential transform, geometric transformations, color transform, parameter measurement, Fourier transform, wavelet transform, Hough transform, pattern recognition, neural networks, genetic algorithms, image compression, etc. function, provided there are nearly 100 image processing and analysis function of the source code. The software is mainly applied to image processing teaching and research

这是一个关于图象融合的程序，利用该程序可以实现任意图象的匹配与融和。-This is a picture of the integration process, the use of the program could realize arbitrary image matching and integration.

局部综合原理设计锥齿轮弧齿锥齿轮设计正式计算文件几何参数计算（一）.rar-Integrated Principles of design of partial bevel gear spiral bevel gear design document formally calculated the geometric parameters (1). Rar

Simple face and eye detection MATLAB Release: R13 You can use this codes for face detection based on color segmentation and eye region detection.