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g-spacewhale 2018-01-19 15:57:48 +01:00
parent f68a6b5559
commit 9b0bacf6d7
1 changed files with 43 additions and 24 deletions
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31
Source/functions/solve/puzzleExtension.cpp
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@ -4,6 +4,9 @@
#include "../../header/solve.h"
#include "../../header/input.h"
Mat crop2ContourInv(const Mat & img);
void Puzzle::printPuzzle()
{
cout << "a1: " << endl;
@ -125,8 +128,7 @@ Mat Puzzle::readImage(int fileIndex, const char* inputDir){
Mat source = imread(inputstr,1);
return source;
}
Mat Puzzle::resultImage( vector<LogEntry>& log){
Mat Puzzle::resultImage_for_merging( vector<LogEntry>& log){
int Y_size = 1200; // chose this to fit your monitor!
int separator = 1;
int partHeight = 90;
@ -168,6 +170,9 @@ Mat Puzzle::resultImage( vector<LogEntry>& log){
sprintf(name, PATH, imageNumber);
Mat img = imread(name, 1);
copyMakeBorder(img,img,200,200,200,200,BORDER_CONSTANT,Scalar(255,255,255));
Mat invert = Mat::ones(img.size(), CV_8UC3); // invert for rotation to work correctly
bitwise_not ( img, invert );
if (it.myCoor.col == 12 && it.myCoor.row == 0)
{
//imshow("img",img);
@ -175,25 +180,39 @@ Mat Puzzle::resultImage( vector<LogEntry>& log){
;
}
int angle = ((int)it.PieceCollector[0].second->GetNumOfRotations())*-90;
Point2f center;
center.x = img.cols/2;
center.y = img.rows/2;
Mat RotMatrix = getRotationMatrix2D(center,angle,1);
warpAffine(img,img,RotMatrix, img.size());
// imshow("readImg",img); // you can comment with Ctrl + / did you know? :D
// waitKey(0);
bitwise_not(invert,img);
Mat cropped = crop2ContourInv(img);
auto ROI_X = int(round(it.myCoor.col*partWidth));
auto ROI_Y = int(round(it.myCoor.row*partHeight));
// cout<<"ROI X: "<< ROI_X<<endl;
// cout<<"ROI Y: "<< ROI_Y<<endl;
Rect ROI(ROI_X,ROI_Y , partWidth-separator, partHeight-separator); // j is the x coordinate not i!!
Mat temp; resize(img,temp, Size(ROI.width, ROI.height));
Mat temp(Scalar(255,255,255));
resize(cropped,temp, Size(ROI.width, ROI.height));
temp.copyTo(result(ROI));
}
imshow("result",result);
waitKey(0);
return result;
}
Mat crop2ContourInv(const Mat & img){ // for white background images
Mat grey;
cvtColor(img, grey,CV_BGR2GRAY);
Contour_t c; Hierarchy_t h;
threshold(grey,grey,200,255,THRESH_BINARY_INV);
findContours(grey,c,h,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_SIMPLE);
int longest = getLongestContourIndex(c);
Rect croppingRect = boundingRect(c[longest]);
Mat cropped = img(croppingRect);
// imshow("cropped", cropped);
return cropped;
}