OpenCV教程全攻略：从安装到实战应用

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OpenCV教程是一系列详细的指南，专为初学者和开发者设计，旨在帮助他们掌握OpenCV这一强大的计算机视觉库。该教程覆盖了多个平台的安装与集成，包括Linux、Windows、Java、Android和iOS，以及跨平台的开发环境设置。教程从基础入门开始，介绍了如何在不同环境下（如Eclipse、Visual Studio）构建OpenCV应用，并演示了基本图像处理功能。第一部分主要关注OpenCV的入门和安装步骤。章节1.1详细指导了在Linux系统上安装OpenCV，涉及使用gcc和CMake编译工具链。章节1.2至1.14分别讨论了如何与Eclipse集成、在Windows中的安装方法、利用Visual Studio进行开发、以及在Android和iOS平台上的部署。此外，还提到了利用ImageWatch在Visual Studio调试器中查看内存中的图像。第二部分深入剖析了OpenCV的核心模块，特别是Mat对象，它是OpenCV中处理图像数据的基本容器。这部分涵盖了使用Mat读取、扫描图像，处理查找表，以及进行时间测量。章节2.2讲解了矩阵操作，包括使用mask进行特定区域的处理，章节2.3展示了如何通过OpenCV将两张图片融合（即图像叠加）。2.4节介绍了调整图像对比度和亮度的基本方法，这些都是图像处理的基础技能。对于Java开发者，章节1.7和1.8介绍了如何在Eclipse中使用OpenCV Java API，这对于希望将OpenCV功能引入到Java项目中的开发者来说是必不可少的。而对于移动应用开发，章节1.9和1.10分别介绍了OpenCV for Android SDK和在Android平台上进行开发的最佳实践。总结来说，OpenCV教程提供了全面的入门路径，从环境配置到核心功能的实践应用，为学习者提供了丰富的资源来理解和应用OpenCV，无论是桌面还是移动设备上的计算机视觉开发。通过这些章节的学习，读者可以掌握基本的图像处理技术，并了解如何在实际项目中灵活运用OpenCV的功能。

The OpenCV Tutorials, Release 2.4.7.2

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 )

{

Mat image;

image = imread( argv[1], 1 );

if( argc != 2 || !image.data )

{

printf( "No image data \n" );

return -1;

}

namedWindow( "Display Image", CV

WINDOW

AUTOSIZE );

imshow( "Display Image", image );

10 Chapter 1. Introduction to OpenCV

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