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Added code for processing of puzzle-pieces

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Code working until now
Commented out other layers in solve.h
Path now in header-file
Small changes to full-puzzle-processing
This commit is contained in:
JRauer
2018-01-26 18:47:41 +01:00
parent c59c72c3fc
commit faeeeb8d71
3 changed files with 71 additions and 16 deletions
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66
Source/functions/AbstractionLayers/Layer_SURFFeatures/AbstractionLayer_SURFFeatures.cpp
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@@ -13,14 +13,6 @@
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#ifdef _WIN32
#define PATH_FULL_PUZZLE "..\\..\\..\\puzzle_img\\puzzle1.jpg"
#elif defined __unix__
#define PATH_FULL_PUZZLE "..//..//..//puzzle_img//puzzle1.jpg"
#elif defined __APPLE__
#define PATH_FULL_PUZZLE "..//..//..//puzzle_img//puzzle1.jpg"
#endif
using namespace cv;
using namespace std;
@@ -29,11 +21,13 @@ bool AbstractionLayer_SURFFeatures::PreProcessing(coor mySize, const vector<Part
InitialiseConstraintMatrixSize(mySize.col, mySize.row);
std::vector< cv::Point2f > corners; // Variable to store corner-positions at
// -- Complete puzzle image processing --
// -- Complete puzzle image processing ---------------------------------------------------------------------------------------------
// ---------------------------------------------------------------------------------------------------------------------------------
// Load and resize image, so that number of parts in row and col fit in
cv::Mat image = cv::imread(PATH_FULL_PUZZLE, IMREAD_GRAYSCALE);
//cout << "PRE: " << image.cols << " x " << image.rows << endl;
cv::resize(image, image, Size(int(ceil(double(image.cols)/mySize.col)*mySize.row), int(ceil(double(image.rows)/mySize.row)*mySize.row)));
cv::resize(image, image, Size(int(ceil(double(image.cols)/mySize.col)*mySize.col), int(ceil(double(image.rows)/mySize.row)*mySize.row)));
//cout << "POST: " << image.cols << " x " << image.rows << endl;
// PARAMETERS (for description see top of file)
@@ -77,7 +71,7 @@ bool AbstractionLayer_SURFFeatures::PreProcessing(coor mySize, const vector<Part
}
}
// Calculate percentage from 0 to 100% with numberOfFeatures and safe it
// Calculate percentage from 0 to 100% (normalized 0-1) with numberOfFeatures and safe it
for( int j = 0; j < mySize.row ; j++ )
{
for( int i = 0; i < mySize.col; i++ )
@@ -98,9 +92,53 @@ bool AbstractionLayer_SURFFeatures::PreProcessing(coor mySize, const vector<Part
cv::waitKey(0);*/
//TODO: Alle Bilder mit OpenCV öffnen und deren erkannten Features in SURFFeature_Properties der Part-Klasse speichern
// Speichert die erkannten Features des jeweiligen Bilds im partArray an der Stelle (->at(xxx))
partArray->at(0)->m_a4.m_numberOfFeaturesDetected = 40;
// -- Puzzle piece image processing ------------------------------------------------------------------------------------------------
// ---------------------------------------------------------------------------------------------------------------------------------
int count = 0;
char name[100];
// PARAMETERS (for description see top of file)
maxCorners = 500;
qualityLevel = 0.05;
minDistance = .5;
minFeatures = maxCorners;
maxFeatures = 0;
// For each piece
for (count = 0; count < mySize.col*mySize.row; count++) { //cols*rows
sprintf(name, PATH, count);
Mat src = cv::imread(name, IMREAD_GRAYSCALE);
if (!src.data) {
cerr << "Problem loading image!!!" << endl;
return false;
} else {
cv::goodFeaturesToTrack( src, corners, maxCorners, qualityLevel, minDistance, mask, blockSize, useHarrisDetector, k );
if(corners.size() < minFeatures) minFeatures = corners.size();
if(corners.size() > maxFeatures) maxFeatures = corners.size();
partArray->at(count)->m_a4.m_numberOfFeaturesDetected = corners.size();
/*for( size_t i = 0; i < corners.size(); i++ ) {
cv::circle( src, corners[i], 2, cv::Scalar( 255. ), -1 );
}
cv::namedWindow( "Output", CV_WINDOW_AUTOSIZE );
cv::imshow( "Output", src );
cout << count << " " << corners.size() << endl;
cv::waitKey(0);*/
}
}
// Calculate percentage from 0 to 100% (normalized 0-1) with numberOfFeatures and safe it
for( int i = 0; i < mySize.col*mySize.row; i++ )
{
partArray->at(i)->m_a4.m_numberOfFeaturesDetected = (partArray->at(i)->m_a4.m_numberOfFeaturesDetected - minFeatures) / (maxFeatures - minFeatures);
cout << fixed << partArray->at(i)->m_a4.m_numberOfFeaturesDetected << endl;
}
cout << endl;
return true;
}
bool AbstractionLayer_SURFFeatures::EvaluateQuality (coor constraintCoordinate, qualityVector& qVector)

17
Source/functions/AbstractionLayers/Layer_SURFFeatures/AbstractionLayer_SURFFeatures.h
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@@ -3,6 +3,23 @@
#include "../AbstraktionLayer_Base.h"
#ifdef _WIN32
#define PATH_FULL_PUZZLE "..\\..\\..\\puzzle_img\\puzzle1.jpg"
#elif defined __unix__
#define PATH_FULL_PUZZLE "..//..//..//puzzle_img//puzzle1.jpg"
#elif defined __APPLE__
#define PATH_FULL_PUZZLE "..//..//..//puzzle_img//puzzle1.jpg"
#endif
#ifdef _WIN32 //TODO: Code duplicate from AbstractionLayer_1.h
#define PATH "..\\..\\..\\pieces\\%04d.jpg"
#elif defined __unix__
#define PATH "..//..//..//pieces//%04d.jpg"
#elif defined __APPLE__
#define PATH "..//..//..//pieces//%04d.jpg"
#endif
using namespace std;
class AbstractionLayer_SURFFeatures : public AbstractionLayer_Base<AbstractionLayer_SURFFeatures_Properties>