七月在线Opencv学习机器视觉 学习笔记之 Fundamental of Computer Vision

What is Computer Vision?

Goal of computer vision is to write computer programs that can interpret images.

Why computer vision matters

 

Examples of application areas

 

Applications
 

Geometric reconstruction: modeling, forensics,
special effects (ILM, RealVis)
• Image and video editing (Avid, Adobe)
• Scientific / medical applications (GE)

Tracking and surveillance (Sarnoff)
• Fingerprint recognition (Digital Persona)
• Biometrics / iris scans (Iridian Technologies)
• Vehicle safety (MobilEye)
• Optical motion capture (Vicon)

Vicon
 

MobileEye

Open Libraries/projects
 

OpenCV http://opencv.org/
 C++, C, Python and Java interfaces
 Windows, Linux, Mac OS, iOS and Android
HALCON http://www.halcon.com/
 Easy programming in C++, C, C# or VB.NET
 Available for Windows, Linux, Mac OS
 

OpenBR

 

http://openbiometrics.org/

EasyPR

 

http://git.oschina.net/easypr/EasyPR
 

Opencv安装配置
 

Image Watch
 

https://marketplace.visualstudio.com/items?itemName=VisualCPPTeam.ImageWatch

Image Watch is a watch window for viewing in-memory bitmaps when debugging native C++ code.  The current version (release notes)has built-in support for OpenCV image types (cv::Mat, cv::Mat_<>, CvMat, _IplImage). To enable user-defined image types please refer to the Image Watch documentation.

 

认识图像
 

 

 

 

常用构造函数
 

MAT

 Mat::Mat()
 Mat::Mat(int rows, int cols, int type)
 Mat::Mat(Size size, int type)
 Mat::Mat(int rows, int cols, int type, const Scalar& s)
 Mat::Mat(Size size, int type, const Scalar& s)
 Mat::Mat(const Mat& m)
 Mat::Mat(int rows, int cols, int type, void* data, size_t
step=AUTO_STEP)
 Mat::Mat(Size size, int type, void* data, size_t step=AUTO_STEP)
 Mat::Mat(const Mat& m, const Range& rowRange, const Range&
colRange)
 Mat::Mat(const Mat& m, const Rect& roi)

全是浅copy

 

ROI

 

#include 
#include 

using namespace std;
using namespace cv;

void main()
{
	Mat image = imread("book.jpg");
	Mat imags;
	Mat image2= image;

	Mat M(3,  2,  CV_8UC3, Scalar(0, 0, 225));
	Rect rect(100, 100, 200, 200);
	Mat roi = Mat(image, rect);
	imshow("roi", roi);

	imshow("books", image);
	waitKey();


}

 

Mat的赋值和拷贝问题