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DocumentScanner.cpp
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DocumentScanner.cpp
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#include<opencv2/imgcodecs.hpp>
#include<opencv2/highgui.hpp>
#include<opencv2/imgproc.hpp>
#include<iostream>
using namespace cv;
using namespace std;
Mat img,imgGray,imgBlur,imgCanny,imgDil,imgThres,imgWarp,imgCrop;
vector<Point> initialPoints,docPoints;
float w = 420, h = 596;
Mat preProcessing(Mat img)
{
cvtColor(img, imgGray, COLOR_BGR2GRAY);
GaussianBlur(img, imgBlur, Size(5, 5),7,0);
Canny(imgBlur, imgCanny, 25,50);
Mat kernel = getStructuringElement(MORPH_RECT, Size(3, 3));
dilate(imgCanny, imgDil, kernel);
return imgDil;
}
vector<Point> getContours(Mat img)
{
vector<vector<Point>> contours;
vector<Vec4i> hierarchy;
vector<Point> biggest;
findContours(img, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);
vector<vector<Point>> conPoly(contours.size());
vector<Rect> boundRect(contours.size());
int maxArea = 0;
for (int i = 0; i < contours.size(); i++)
{
int area = contourArea(contours[i]);
cout << area << endl;
if (area > 1000)
{
float peri = arcLength(contours[i], true);
approxPolyDP(contours[i], conPoly[i], 0.02 * peri, true);
if (area > maxArea && conPoly[i].size() == 4)
{
drawContours(img, conPoly, i, Scalar(255, 0, 255), 2);
biggest = { conPoly[i][0],conPoly[i][1],conPoly[i][2],conPoly[i][3] };
maxArea = area;
}
//rectangle(img, boundRect[i].tl(), boundRect[i].br(), Scalar(0, 255, 0), 5);
}
}
return biggest;
}
void drawPoints(vector<Point> points, Scalar color)
{
for (int i = 0; i < points.size(); i++)
{
circle(img, points[i], 10, color, FILLED);
putText(img, to_string(i), points[i], FONT_HERSHEY_COMPLEX,2, color, 2);
}
}
vector<Point> reOrder(vector<Point> points)
{
vector<Point> newPoints;
vector<int> sumPoints,subPoints;
for (int i = 0; i < 4; i++)
{
sumPoints.push_back(points[i].x + points[i].y);
subPoints.push_back(points[i].x - points[i].y);
}
newPoints.push_back(points[min_element(sumPoints.begin(), sumPoints.end()) - sumPoints.begin()]);
newPoints.push_back(points[max_element(subPoints.begin(), subPoints.end()) - subPoints.begin()]);
newPoints.push_back(points[min_element(subPoints.begin(), subPoints.end()) - subPoints.begin()]);
newPoints.push_back(points[max_element(sumPoints.begin(), sumPoints.end()) - sumPoints.begin()]);
return newPoints;
}
Mat getWarp(Mat img, vector<Point>points, float w, float h)
{
Point2f src[4] = { points[0],points[1],points[2],points[3] };
Point2f dst[4] = { {0.0f,0.0f},{w,0.0f},{0.0f,h},{w,h} };
Mat matrix = getPerspectiveTransform(src, dst);
warpPerspective(img, imgWarp, matrix, Point(w, h));
return imgWarp;
}
int main()
{
string path = "Resources/paper.jpg";
string save = "Resources/Saves/save.jpg";
img = imread(path);
resize(img, img, Size(1000, 700));
//Preprocessing of image
imgThres=preProcessing(img);
//Get Contours-Biggest one
initialPoints=getContours(imgThres);
//drawPoints(initialPoints, Scalar(0, 0, 255));
docPoints = reOrder(initialPoints);
//drawPoints(docPoints, Scalar(0, 0, 255));
//Warp
imgWarp = getWarp(img,docPoints,w,h);
//Crop
int CropVal = 5;
Rect roi(CropVal, CropVal, w - (2 * CropVal), h - (2 * CropVal));
imgCrop = imgWarp(roi);
imshow("Image", img);
imshow("Final Image", imgCrop);
//imshow("Grayscale Image", imgGray);
//imshow("Processed Image", imgThres);
imwrite(save, imgCrop);
waitKey(0);
return 0;
}