C++ OpenCV實現圖像去陰影

資料來源: https://mp.weixin.qq.com/s/ejBBC_GFM27R-0-kQuHK0Q

GITHUB: https://github.com/Vaccae/OpenCVDemoCpp

#    實現思路
1    圖將轉為灰度圖
2    將灰度圖進行膨脹操作
3    膨脹後的圖再進行腐蝕操作
4    先膨脹後腐蝕後的圖減去原灰度圖再取反

5    將取反後的圖使用歸一化將白色背景修改貼近原圖

CODE:

#include <opencv2/opencv.hpp>
#include <iostream>

using namespace cv;
using namespace std;

int main(int argc, char** argv) {

  Mat src = imread("E:/DCIM/Test_image.jpg");
  CvUtils::MatResize(src, 800, 520);
  //imshow("src", src);

  //1.将图像转为灰度图
  Mat gray;
  cvtColor(src, gray, COLOR_BGR2GRAY);
  CvUtils::SetShowWindow(gray, "gray", 0, 30);
  imshow("gray", gray);

  //定义腐蚀和膨胀的结构化元素和迭代次数
  Mat element = getStructuringElement(MORPH_RECT, Size(3, 3));
  int iteration = 9;

  //2.将灰度图进行膨胀操作
  Mat dilateMat;
  morphologyEx(gray, dilateMat, MORPH_DILATE, element, Point(-1, -1), iteration);
  //imshow("dilate", dilateMat);

  //3.将膨胀后的图再进行腐蚀
  Mat erodeMat;
  morphologyEx(dilateMat, erodeMat, MORPH_ERODE, element, cv::Point(-1, -1), iteration);
  //imshow("erode", erodeMat);

  //4.膨胀再腐蚀后的图减去原灰度图再进行取反操作
  Mat calcMat = ~(erodeMat - gray);
  CvUtils::SetShowWindow(calcMat, "calc", gray.cols*2, 30);
  imshow("calc", calcMat);

  //5.使用规一化将原来背景白色的改了和原来灰度图差不多的灰色
  Mat removeShadowMat;
  normalize(calcMat, removeShadowMat, 0, 200, NORM_MINMAX);
  CvUtils::SetShowWindow(removeShadowMat, "dst", 
    gray.cols, 30);
  imshow("dst", removeShadowMat);


  waitKey(0);
  return 0;
}

成果圖: