mryndzionek / scanner Goto Github PK
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License: Mozilla Public License 2.0
OpenCV document scanner
License: Mozilla Public License 2.0
I am running your code on a Windows 10 x64 system with VS 2019. I tried to run your code, but as soon as I run it, i get an dialog box saying abort has been called. I even tried to make some changes to the code but it is still giving me the same error.
Original code:
#include <opencv2/opencv.hpp>
#include <stdio.h>
#include <math.h>
#include <iostream>
using namespace cv;
using namespace std;
bool compareContourAreas ( std::vector<cv::Point> contour1, std::vector<cv::Point> contour2 ) {
double i = fabs( contourArea(cv::Mat(contour1)) );
double j = fabs( contourArea(cv::Mat(contour2)) );
return ( i > j );
}
bool compareXCords(Point p1, Point p2)
{
return (p1.x < p2.x);
}
bool compareYCords(Point p1, Point p2)
{
return (p1.y < p2.y);
}
bool compareDistance(pair<Point, Point> p1, pair<Point, Point> p2)
{
return (norm(p1.first - p1.second) < norm(p2.first - p2.second));
}
double _distance(Point p1, Point p2)
{
return sqrt(((p1.x - p2.x) * (p1.x - p2.x)) +
((p1.y - p2.y) * (p1.y - p2.y)));
}
void resizeToHeight(Mat src, Mat &dst, int height)
{
Size s = Size(src.cols * (height / double(src.rows)), height);
resize(src, dst, s, CV_INTER_AREA);
}
void orderPoints(vector<Point> inpts, vector<Point> &ordered)
{
sort(inpts.begin(), inpts.end(), compareXCords);
vector<Point> lm(inpts.begin(), inpts.begin()+2);
vector<Point> rm(inpts.end()-2, inpts.end());
sort(lm.begin(), lm.end(), compareYCords);
Point tl(lm[0]);
Point bl(lm[1]);
vector<pair<Point, Point> > tmp;
for(size_t i = 0; i< rm.size(); i++)
{
tmp.push_back(make_pair(tl, rm[i]));
}
sort(tmp.begin(), tmp.end(), compareDistance);
Point tr(tmp[0].second);
Point br(tmp[1].second);
ordered.push_back(tl);
ordered.push_back(tr);
ordered.push_back(br);
ordered.push_back(bl);
}
void fourPointTransform(Mat src, Mat &dst, vector<Point> pts)
{
vector<Point> ordered_pts;
orderPoints(pts, ordered_pts);
double wa = _distance(ordered_pts[2], ordered_pts[3]);
double wb = _distance(ordered_pts[1], ordered_pts[0]);
double mw = max(wa, wb);
double ha = _distance(ordered_pts[1], ordered_pts[2]);
double hb = _distance(ordered_pts[0], ordered_pts[3]);
double mh = max(ha, hb);
Point2f src_[] =
{
Point2f(ordered_pts[0].x, ordered_pts[0].y),
Point2f(ordered_pts[1].x, ordered_pts[1].y),
Point2f(ordered_pts[2].x, ordered_pts[2].y),
Point2f(ordered_pts[3].x, ordered_pts[3].y),
};
Point2f dst_[] =
{
Point2f(0,0),
Point2f(mw - 1, 0),
Point2f(mw - 1, mh - 1),
Point2f(0, mh - 1)
};
Mat m = getPerspectiveTransform(src_, dst_);
warpPerspective(src, dst, m, Size(mw, mh));
}
void preProcess(Mat src, Mat &dst)
{
cv::Mat imageGrayed;
cv::Mat imageOpen, imageClosed, imageBlurred;
cvtColor(src, imageGrayed, CV_BGR2GRAY);
cv::Mat structuringElmt = cv::getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(4,4));
morphologyEx(imageGrayed, imageOpen, cv::MORPH_OPEN, structuringElmt);
morphologyEx(imageOpen, imageClosed, cv::MORPH_CLOSE, structuringElmt);
GaussianBlur(imageClosed, imageBlurred, Size(7, 7), 0);
Canny(imageBlurred, dst, 75, 100);
}
string getOutputFileName(string path, string name)
{
std::string fname, ext;
size_t sep = path.find_last_of("\\/");
if (sep != std::string::npos)
{
path = path.substr(sep + 1, path.size() - sep - 1);
size_t dot = path.find_last_of(".");
if (dot != std::string::npos)
{
fname = path.substr(0, dot);
ext = path.substr(dot, path.size() - dot);
}
else
{
fname = path;
ext = "";
}
}
return fname + "_" + name + ext;
}
int main( int argc, char** argv)
{
static const char * const keys = "{ @image |<none>| }";
CommandLineParser parser(argc, argv, keys);
if (!parser.has("@image"))
{
parser.printMessage();
return -1;
}
string image_name(parser.get<String>("@image"));
Mat image = imread(image_name);
if (image.empty())
{
printf("Cannot read image file: %s\n", image_name.c_str());
return -1;
}
double ratio = image.rows / 500.0;
Mat orig = image.clone();
resizeToHeight(image, image, 500);
Mat gray, edged, warped;
preProcess(image, edged);
#ifndef NDEBUG
imwrite(getOutputFileName(image_name, "edged"), edged);
#endif
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
vector<vector<Point> > approx;
findContours(edged, contours, hierarchy, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE);
approx.resize(contours.size());
size_t i,j;
for(i = 0; i< contours.size(); i++)
{
double peri = arcLength(contours[i], true);
approxPolyDP(contours[i], approx[i], 0.02 * peri, true);
}
sort(approx.begin(), approx.end(), compareContourAreas);
for(i = 0; i< approx.size(); i++)
{
drawContours(image, approx, i, Scalar(255, 255, 0), 2);
if(approx[i].size() == 4)
{
break;
}
}
if(i < approx.size())
{
drawContours(image, approx, i, Scalar(0, 255, 0), 2);
#ifndef NDEBUG
imwrite(getOutputFileName(image_name, "outline"), image);
#endif
for(j = 0; j< approx[i].size(); j++)
{
approx[i][j] *= ratio;
}
fourPointTransform(orig, warped, approx[i]);
#ifndef NDEBUG
imwrite(getOutputFileName(image_name, "flat"), warped);
#endif
cvtColor(warped, warped, CV_BGR2GRAY, 1);
adaptiveThreshold(warped, warped, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 9, 15);
GaussianBlur(warped, warped, Size(3, 3), 0);
imwrite(getOutputFileName(image_name, "scanned"), warped);
}
}
Revised Code:
#include <opencv2/opencv.hpp>
#include <opencv2/imgproc/types_c.h>
#include <stdio.h>
#include <math.h>
#include <iostream>
using namespace cv;
using namespace std;
bool compareContourAreas(std::vector<cv::Point> contour1, std::vector<cv::Point> contour2) {
double i = fabs(contourArea(cv::Mat(contour1)));
double j = fabs(contourArea(cv::Mat(contour2)));
return (i > j);
}
bool compareXCords(Point p1, Point p2)
{
return (p1.x < p2.x);
}
bool compareYCords(Point p1, Point p2)
{
return (p1.y < p2.y);
}
bool compareDistance(pair<Point, Point> p1, pair<Point, Point> p2)
{
return (norm(p1.first - p1.second) < norm(p2.first - p2.second));
}
double _distance(Point p1, Point p2)
{
return sqrt(((p1.x - p2.x) * (p1.x - p2.x)) +
((p1.y - p2.y) * (p1.y - p2.y)));
}
void resizeToHeight(Mat src, Mat& dst, int height)
{
Size s = Size(src.cols * (height / double(src.rows)), height);
resize(src, dst, s, CV_INTER_AREA);
}
void orderPoints(vector<Point> inpts, vector<Point>& ordered)
{
sort(inpts.begin(), inpts.end(), compareXCords);
vector<Point> lm(inpts.begin(), inpts.begin() + 2);
vector<Point> rm(inpts.end() - 2, inpts.end());
sort(lm.begin(), lm.end(), compareYCords);
Point tl(lm[0]);
Point bl(lm[1]);
vector<pair<Point, Point> > tmp;
for (size_t i = 0; i < rm.size(); i++)
{
tmp.push_back(make_pair(tl, rm[i]));
}
sort(tmp.begin(), tmp.end(), compareDistance);
Point tr(tmp[0].second);
Point br(tmp[1].second);
ordered.push_back(tl);
ordered.push_back(tr);
ordered.push_back(br);
ordered.push_back(bl);
}
void fourPointTransform(Mat src, Mat& dst, vector<Point> pts)
{
vector<Point> ordered_pts;
orderPoints(pts, ordered_pts);
double wa = _distance(ordered_pts[2], ordered_pts[3]);
double wb = _distance(ordered_pts[1], ordered_pts[0]);
double mw = max(wa, wb);
double ha = _distance(ordered_pts[1], ordered_pts[2]);
double hb = _distance(ordered_pts[0], ordered_pts[3]);
double mh = max(ha, hb);
Point2f src_[] =
{
Point2f(ordered_pts[0].x, ordered_pts[0].y),
Point2f(ordered_pts[1].x, ordered_pts[1].y),
Point2f(ordered_pts[2].x, ordered_pts[2].y),
Point2f(ordered_pts[3].x, ordered_pts[3].y),
};
Point2f dst_[] =
{
Point2f(0,0),
Point2f(mw - 1, 0),
Point2f(mw - 1, mh - 1),
Point2f(0, mh - 1)
};
Mat m = getPerspectiveTransform(src_, dst_);
warpPerspective(src, dst, m, Size(mw, mh));
}
void preProcess(Mat src, Mat& dst)
{
cv::Mat imageGrayed;
cv::Mat imageOpen, imageClosed, imageBlurred;
cvtColor(src, imageGrayed, CV_BGR2GRAY);
cv::Mat structuringElmt = cv::getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(4, 4));
morphologyEx(imageGrayed, imageOpen, cv::MORPH_OPEN, structuringElmt);
morphologyEx(imageOpen, imageClosed, cv::MORPH_CLOSE, structuringElmt);
GaussianBlur(imageClosed, imageBlurred, Size(7, 7), 0);
Canny(imageBlurred, dst, 75, 100);
}
string getOutputFileName(string path, string name)
{
std::string fname, ext;
size_t sep = path.find_last_of("\\/");
if (sep != std::string::npos)
{
path = path.substr(sep + 1, path.size() - sep - 1);
size_t dot = path.find_last_of(".");
if (dot != std::string::npos)
{
fname = path.substr(0, dot);
ext = path.substr(dot, path.size() - dot);
}
else
{
fname = path;
ext = "";
}
}
return fname + "_" + name + ext;
}
int main(int argc, char** argv)
{
string output_path = "D:\\Visual Studio Projects\\OpenCV\\";
CommandLineParser parser(argc, argv, "{@input | building.jpg | input image}");
Mat image = imread(samples::findFile(parser.get<String>("@input")));
if (image.empty())
{
printf("Cannot read image file");
return -1;
}
double ratio = image.rows / 500.0;
Mat orig = image.clone();
resizeToHeight(image, image, 500);
Mat gray, edged, warped;
preProcess(image, edged);
#ifndef NDEBUG
imwrite(getOutputFileName(output_path, "edged"), edged);
#endif
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
vector<vector<Point> > approx;
findContours(edged, contours, hierarchy, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE);
approx.resize(contours.size());
size_t i, j;
for (i = 0; i < contours.size(); i++)
{
double peri = arcLength(contours[i], true);
approxPolyDP(contours[i], approx[i], 0.02 * peri, true);
}
sort(approx.begin(), approx.end(), compareContourAreas);
for (i = 0; i < approx.size(); i++)
{
drawContours(image, approx, i, Scalar(255, 255, 0), 2);
if (approx[i].size() == 4)
{
break;
}
}
if (i < approx.size())
{
drawContours(image, approx, i, Scalar(0, 255, 0), 2);
#ifndef NDEBUG
imwrite(getOutputFileName(output_path, "outline"), image);
#endif
for (j = 0; j < approx[i].size(); j++)
{
approx[i][j] *= ratio;
}
fourPointTransform(orig, warped, approx[i]);
#ifndef NDEBUG
imwrite(getOutputFileName(output_path, "flat"), warped);
#endif
cvtColor(warped, warped, CV_BGR2GRAY, 1);
adaptiveThreshold(warped, warped, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 9, 15);
GaussianBlur(warped, warped, Size(3, 3), 0);
imwrite(getOutputFileName(output_path, "scanned"), warped);
}
}
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