OpenCV全平台教程：C/C++、Java、Android与iOS实战指南 - CSDN文库

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"OpenCV英文原版教程是一份全面的资源，针对OpenCV 2.4.8.0版本提供了详细的指导。该教程不仅涵盖了安装与配置部分，如在Linux（包括使用gcc和CMake）、Windows和跨平台环境下的开发，还特别强调了如何在Microsoft Visual Studio中构建应用程序，以及利用ImageWatch功能在调试器中查看内存中的图像。对于非C语言用户，教程还包括了Java和Clojure的OpenCV开发入门，适合Android和iOS平台的开发，以及针对ARM基础Linux系统的交叉编译。章节1主要介绍了OpenCV的基本概念和环境设置，包括不同平台的安装步骤，这对于开发者来说是非常实用的指南。例如，学习者可以了解到如何在Eclipse中使用OpenCV插件以及在Android和iOS环境中集成OpenCV SDK。同时，教程还强调了加载、修改和保存图像的实例操作，这对于实际项目中的图像处理至关重要。在核心模块部分，第2章深入解析了OpenCV的基础功能，特别是"Mat"对象，它是OpenCV中存储和操作图像数据的基本容器。讲解了如何扫描图像、使用查找表进行数据查找以及时间测量，这些都是处理图像数据的基础技能。此外，还涵盖了矩阵操作，如使用mask进行图像处理，以及如何通过OpenCV实现图像的融合或混合，这些都是图像处理中的常见技术。对于那些希望编写OpenCV教程的读者，教程也给出了指导，鼓励他们分享自己的学习经验和实践案例，促进了社区的学习交流。总体而言，这份教程无论对于初学者还是有一定经验的开发者，都是一个全面理解、掌握OpenCV的强大工具。"

The OpenCV Tutorials, Release 2.4.8.0

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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