OpenCV教程：从入门到精通

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"The OpenCV Tutorials - Release 2.4.13.1" OpenCV（开源计算机视觉库）是一个免费的BSD许可库，包含了数百种计算机视觉算法。这个文档主要介绍的是OpenCV 2.x API，它是一个基于C++的API，与旧版的基于C的OpenCV 1.x API有所不同。OpenCV 1.x API的介绍可以在opencv1x.pdf中找到。本教程逐步指导如何使用OpenCV API，涵盖了多种操作系统和开发环境的安装与配置： 1. Linux系统中的安装在第9页开始，包括使用gcc和CMake的步骤。 2. 使用Eclipse（CDT插件）配合OpenCV的指南在第12页。 3. Windows系统的安装细节在第18页，同时在第28页讲解了如何在Microsoft Visual Studio中构建带有OpenCV的应用程序。 4. 提供了使用Visual Studio调试器查看内存中图像的ImageWatch工具介绍，在第34页。 5. Java开发入门在第39页，包括使用Eclipse与OpenCV Java的结合。 6. 使用Clojure进行OpenCV开发的简介在第56页。 7. Android开发的介绍从第68页开始，详细讲解OpenCV for Android SDK及其应用。 8. iOS平台的安装指南在第117页，还包含了针对基于ARM的Linux系统的交叉编译方法。 9. 图像的基本操作如加载、显示、修改和保存，分别在第119页、第122页介绍。 10. 教程编写指南在第124页，帮助用户了解如何为OpenCV创建教程。核心模块"The Core Functionality"从第135页开始，是OpenCV的基础功能： - Mat类：作为基本图像容器在第137页进行详细解释。 - 扫描图像、查找表和性能测量：在第143页探讨如何在OpenCV中实现这些功能。 - 矩阵的掩码操作：第148页介绍了如何在矩阵上应用掩码。 - 使用OpenCV进行两图像的混合（添加/融合）：在第150页提供了具体方法。 - 图像通道操作：OpenCV如何处理图像的不同颜色通道。以上内容构成了OpenCV 2.4.13.1版本的教程，涵盖了从安装到实际应用的全方位指南，旨在帮助开发者高效地利用OpenCV进行计算机视觉项目开发。

The OpenCV Tutorials, Release 2.4.13.1

Building OpenCV from Source Using CMake, Using the Command Line

1. Create a temporary directory, which we denote as <cmake_binary_dir>, where you want to put the generated

Makeﬁles, project ﬁles as well the object ﬁles and output binaries.

2. Enter the <cmake_binary_dir> and type

cmake [<some optional parameters>] <path to the OpenCV source directory>

For example

cd ~/opencv

mkdir release

cd release

cmake -D CMAKE

BUILD

TYPE=RELEASE -D CMAKE

INSTALL

PREFIX=/usr/local ..

3. Enter the created temporary directory (<cmake_binary_dir>) and proceed with:

make

sudo make install

Note: If the size of the created library is a critical issue (like in case of an Android build) you can use the

install/strip command to get the smallest size as possible. The stripped version appears to be twice as small.

However, we do not recommend using this unless those extra megabytes do really matter.

1.2 Using OpenCV with gcc and CMake

Note: We assume that you have successfully installed OpenCV in your workstation.

• The easiest way of using OpenCV in your code is to use CMake. A few advantages (taken from the Wiki):

1. No need to change anything when porting between Linux and Windows

2. Can easily be combined with other tools by CMake( i.e. Qt, ITK and VTK )

• If you are not familiar with CMake, checkout the tutorial on its website.

Steps

Create a program using OpenCV

Let’s use a simple program such as DisplayImage.cpp shown below.

#include <stdio.h>

#include <opencv2/opencv.hpp>

using namespace cv;

int main(int argc, char

argv )

{

if ( argc != 2 )

{

printf("usage: DisplayImage.out <Image

Path>\n");

return -1;

}

10 Chapter 1. Introduction to OpenCV

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