如何進(jìn)行OpenCV imread 圖片讀取

如何進(jìn)行OpenCV imread 圖片讀取，相信很多沒(méi)有經(jīng)驗(yàn)的人對(duì)此束手無(wú)策，為此本文總結(jié)了問(wèn)題出現(xiàn)的原因和解決方法，通過(guò)這篇文章希望你能解決這個(gè)問(wèn)題。

函數(shù)原型

            CV_EXPORTS_W Mat imread( const String& filename, int flags = IMREAD_COLOR );

參數(shù)說(shuō)明

第一個(gè)參數(shù)是圖片路徑名稱(chēng)，強(qiáng)烈建議使用/作為目錄的分割符號(hào)，例如

第二參數(shù)具有如下的值，說(shuō)明了讀取過(guò)程中是否需要進(jìn)行像素的操作，例如取值0，表示讀取過(guò)程中將像素轉(zhuǎn)換為灰度值，默認(rèn)參數(shù)是1， 表示不改變?cè)瓐D像的像素

enum ImreadModes {

       IMREAD_UNCHANGED            = -1, //!< If set, return the loaded p_w_picpath as is (with alpha channel, otherwise it gets cropped).

       IMREAD_GRAYSCALE            = 0,  //!< If set, always convert p_w_picpath to the single channel grayscale p_w_picpath.

       IMREAD_COLOR                = 1,  //!< If set, always convert p_w_picpath to the 3 channel BGR color p_w_picpath.

       IMREAD_ANYDEPTH             = 2,  //!< If set, return 16-bit/32-bit p_w_picpath when the input has the corresponding depth, otherwise convert it to 8-bit.

       IMREAD_ANYCOLOR             = 4,  //!< If set, the p_w_picpath is read in any possible color format.

       IMREAD_LOAD_GDAL            = 8,  //!< If set, use the gdal driver for loading the p_w_picpath.

       IMREAD_REDUCED_GRAYSCALE_2  = 16, //!< If set, always convert p_w_picpath to the single channel grayscale p_w_picpath and the p_w_picpath size reduced 1/2.

       IMREAD_REDUCED_COLOR_2      = 17, //!< If set, always convert p_w_picpath to the 3 channel BGR color p_w_picpath and the p_w_picpath size reduced 1/2.

       IMREAD_REDUCED_GRAYSCALE_4  = 32, //!< If set, always convert p_w_picpath to the single channel grayscale p_w_picpath and the p_w_picpath size reduced 1/4.

       IMREAD_REDUCED_COLOR_4      = 33, //!< If set, always convert p_w_picpath to the 3 channel BGR color p_w_picpath and the p_w_picpath size reduced 1/4.

       IMREAD_REDUCED_GRAYSCALE_8  = 64, //!< If set, always convert p_w_picpath to the single channel grayscale p_w_picpath and the p_w_picpath size reduced 1/8.

       IMREAD_REDUCED_COLOR_8      = 65, //!< If set, always convert p_w_picpath to the 3 channel BGR color p_w_picpath and the p_w_picpath size reduced 1/8.

       IMREAD_IGNORE_ORIENTATION   = 128 //!< If set, do not rotate the p_w_picpath according to EXIF's orientation flag.

     };

例子

#include "opencv2/opencv.hpp"

int main(int argc, char *argv[])

{

    cv::Mat srcImg = cv::imread("F:/test2.png", 1);

    return 0;

}

注意：

在進(jìn)行圖像的灰度值處理之后，默認(rèn)情況下， 不會(huì)進(jìn)行圖像的直方圖進(jìn)行圖像的增強(qiáng)，否則會(huì)出現(xiàn)運(yùn)行異常

代碼

#include <opencv2/highgui/highgui.hpp>    

#include <opencv2/imgproc/imgproc.hpp>

#include <iostream>

using namespace cv;

int main(int argc, char *argv[])

{

  Mat p_w_picpath = imread("D:/20170601092226.png", 0);

  if (p_w_picpath.empty())

  {

    std::cout << "打開(kāi)圖片失敗,請(qǐng)檢查" << std::endl;

    return -1;

  }

  imshow("原圖像", p_w_picpath);

  waitKey();

  return 0;

  Mat p_w_picpathRGB[3];

  split(p_w_picpath, p_w_picpathRGB);

  for (int i = 0; i < 3; i++)

  {

    equalizeHist(p_w_picpathRGB[i], p_w_picpathRGB[i]);

  }

  merge(p_w_picpathRGB, 3, p_w_picpath);

  imshow("直方圖均衡化圖像增強(qiáng)效果", p_w_picpath);

  waitKey();

  return 0;

}

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