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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 imgOriginal, imgGray, imgBlur, imgCanny, imgThre, imgDil, imgErode, imgWarp, imgCrop;
vector<Point> initialPoints,docPoints;
float w = 420, h = 596;
Mat preProcessing(Mat img)
{
cvtColor(img, imgGray, COLOR_BGR2GRAY);
GaussianBlur(imgGray, imgBlur, Size(3, 3), 3, 0);
Canny(imgBlur, imgCanny, 25, 75);
Mat kernel = getStructuringElement(MORPH_RECT, Size(3, 3));
dilate(imgCanny, imgDil, kernel);
return imgDil;
}
vector<Point> getContours(Mat image) {
vector<vector<Point>> contours;
vector<Vec4i> hierarchy;
findContours(image, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);
vector<vector<Point>> conPoly(contours.size());
vector<Rect> boundRect(contours.size());
vector<Point> biggest;
int maxArea=0;
for (int i = 0; i < contours.size(); i++)
{
int area = contourArea(contours[i]);
string objectType;
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 ) {
biggest = { conPoly[i][0],conPoly[i][1] ,conPoly[i][2] ,conPoly[i][3] };
maxArea = area;
}
}
}
return biggest;
}
void drawPoints(vector<Point> points, Scalar color)
{
for (int i = 0; i < points.size(); i++)
{
circle(imgOriginal, points[i], 10, color, FILLED);
putText(imgOriginal, to_string(i), points[i], FONT_HERSHEY_PLAIN, 4, color, 4);
}
}
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 = "res/paper.jpg";
imgOriginal = imread(path);
resize(imgOriginal, imgOriginal, Size(), 0.5, 0.5);
imgThre = preProcessing(imgOriginal);
initialPoints = getContours(imgThre);
docPoints = reorder(initialPoints);
imgWarp = getWarp(imgOriginal, docPoints, w, h);
int cropVal= 5;
Rect roi(cropVal, cropVal, w - (2 * cropVal), h - (2 * cropVal));
imgCrop = imgWarp(roi);
imshow("Image", imgOriginal);
imshow("Image Dilation", imgThre);
imshow("Image Warp", imgWarp);
imshow("Image Crop", imgCrop);
waitKey(0);
}
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