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今天开始学习opencv,简单记录一下学习过程。学习opencv就由显示一张图片开始吧。保存一张图片用数据结构Mat,读入一张图片用函数imread。详细定义如下,一参为图片的路径,二参为枚举常量,枚举常量可以取的值有13个。
Mat imread( const String& filename, int flags = IMREAD_COLOR );
//! Imread flags
enum ImreadModes {
IMREAD_UNCHANGED = -1, //!< If set, return the loaded image as is (with alpha channel, otherwise it gets cropped).
IMREAD_GRAYSCALE = 0, //!< If set, always convert image to the single channel grayscale image.
IMREAD_COLOR = 1, //!< If set, always convert image to the 3 channel BGR color image.
IMREAD_ANYDEPTH = 2, //!< If set, return 16-bit/32-bit image when the input has the corresponding depth, otherwise convert it to 8-bit.
IMREAD_ANYCOLOR = 4, //!< If set, the image is read in any possible color format.
IMREAD_LOAD_GDAL = 8, //!< If set, use the gdal driver for loading the image.
IMREAD_REDUCED_GRAYSCALE_2 = 16, //!< If set, always convert image to the single channel grayscale image and the image size reduced 1/2.
IMREAD_REDUCED_COLOR_2 = 17, //!< If set, always convert image to the 3 channel BGR color image and the image size reduced 1/2.
IMREAD_REDUCED_GRAYSCALE_4 = 32, //!< If set, always convert image to the single channel grayscale image and the image size reduced 1/4.
IMREAD_REDUCED_COLOR_4 = 33, //!< If set, always convert image to the 3 channel BGR color image and the image size reduced 1/4.
IMREAD_REDUCED_GRAYSCALE_8 = 64, //!< If set, always convert image to the single channel grayscale image and the image size reduced 1/8.
IMREAD_REDUCED_COLOR_8 = 65, //!< If set, always convert image to the 3 channel BGR color image and the image size reduced 1/8.
IMREAD_IGNORE_ORIENTATION = 128 //!< If set, do not rotate the image according to EXIF's orientation flag.
};
显示一张图片,用函数imshow。在opencv源码中函数的声明如下,InputArray可以传入一个Mat的类型。
void imshow(const String& winname, InputArray mat);
以下是一个用法的示例。
#include <iostream>
#include <opencv2/opencv.hpp>
using namespace std;
using namespace cv;
void main() {
//读入一张图片,一参为图片的绝对路径,二参为枚举常量,有 IMREAD_COLOR、IMREAD_GRAYSCALE等
Mat srcImg = imread("d:/data/test.png",IMREAD_LOAD_GDAL);
imshow("源图像", srcImg);
waitKey();//暂停窗口
}