Changed dp calculation
This commit is contained in:
		@@ -1,7 +1,3 @@
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//
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// Created by mpapa on 05.12.2017.
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//
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#include "DestructionPower.h"
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//TODO! Add more layers here!
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@@ -39,6 +35,8 @@ bool DestructionPower::RemoveConstraintOnPosition(const coor constraintCoordinat
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//gets destruction power from left and from top if possible and normalizes
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void DestructionPower::DestructionOfSurrounding(const coor constraintCoordinate) {
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    for(int i = 0; i < m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].DestructionArray.size(); ++i)
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        m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].DestructionArray.pop_back();
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    for (int i = 0; i < DESTRUCTION_COUNT; ++i) {
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        m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].DestructionArray.push_back(0);
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@@ -1,10 +1,6 @@
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//
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// Created by mpapa on 05.12.2017.
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//
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#pragma once
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//TODO!! increase Destructioncount
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#define DESTRUCTION_COUNT 2
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#define DESTRUCTION_COUNT 1
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#include "DestructionPower_Properties.h"
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#include "../AbstraktionLayer_Base.h"
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@@ -1,6 +1,3 @@
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//
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// Created by mpapa on 05.12.2017.
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//
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#pragma once
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#define DESTRUCTION_INIT 0.5
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@@ -46,6 +46,8 @@ bool AbstractionLayer_1::PreProcessing(coor mySize,  const vector<Part*>* partAr
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//it through qualityVector and removes all that do not trigger PlaceOfPartGood
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bool AbstractionLayer_1::EvaluateQuality (const coor constraintCoordinate, qualityVector& qVector)
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{
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    if(constraintCoordinate.row==23 && constraintCoordinate.col==35)
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        cout << "in" << endl;
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    //evaluateQuality = evaluateProbabilaty
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    for(int i = 0;i<qVector.size();i++)
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    {
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@@ -69,6 +71,20 @@ bool AbstractionLayer_1::RemoveConstraintOnPosition(const coor constraintCoordin
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    m_constraintMatrix[constraintCoordinate.col+1][constraintCoordinate.row+1].m_connections=0b11111111;
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}
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int AbstractionLayer_1::RemoveSimilar(qualityVector& qVector,uint8_t& constraints)
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{
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    //
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    for(int i=0;i<qVector.size();)
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    {
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    if(qVector[i].second->m_a1.m_connections==constraints)
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        qVector.erase(qVector.begin()+i);
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    else
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        i++;
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    }
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}
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void AbstractionLayer_1::CreateRandomPuzzle()
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{
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    std::minstd_rand simple_rand;
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@@ -182,7 +198,11 @@ bool AbstractionLayer_1::PlaceOfPartGood(coor myCoor, uint8_t& myPart)
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                 || ((((negativePart & 0b00000011) == 0b00000011) || ((myPart &  0b00000011) == 0b00000011))  && (((myPart & 0b00000011) != 0b00000000) && (negativePart & 0b00000011) != 0b00000000))
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                 ||  (((negativePart & 0b00000011) == 0b00000000) && ((myPart &  0b00000011) == 0b00000000))  )
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            )
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    {
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        if(myCoor.row==18 && myCoor.col==35)
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            cout << "gud: " << std::bitset<8>(myPart) << endl;
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        return true;
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    }
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    return false;
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}
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@@ -49,6 +49,8 @@ public:
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    bool EvaluateQuality ( coor constraintCoordinate, qualityVector& qVector)override;
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    bool SetConstraintOnPosition( coor constraintCoordinate, AbstractionLayer_1_Properties constraint)override;
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    bool RemoveConstraintOnPosition( coor constraintCoordinate)override;
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    int RemoveSimilar(qualityVector&,uint8_t&);
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    bool PlaceOfPartGood(coor myCoor, uint8_t& myPart);
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    void shift(uint8_t& Part, int shifts);
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    void setEdgeZero();
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@@ -1,158 +0,0 @@
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//
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// Created by Niko on 1/11/2018.
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//
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#include "../../../header.h"
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#include "AbstractionLayer_Histogram.h"
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using namespace cv;
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Mat HistogramComparer::readImages(int count)
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{
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    char name[100];
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    Mat corr;
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    Mat ref_gray;
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    sprintf(name, PATH, count);
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    Mat src = imread(name, 1);
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    if (!src.data)
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    {
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        cerr << "Problem loading image!!!" << endl;
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        return src;
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    }
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    if(DISPLAY)imshow("src",src);
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    Mat im_color;
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    cvtColor(src, im_color, COLOR_BGR2HSV);
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    return im_color;
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}
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bool AbstractionLayer_Histogram::PreProcessing(coor mySize,  const vector<Part*>* partArray){
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HistogramComparer localImage;
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    cout << "Abstraction 2 Preprocessing...  " << flush;
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    const vector<Part*>& ref_partArray = *partArray;
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    analyseParts analyse(mySize.row*mySize.col);
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    Part buf;
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    int iterator=0;
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    if(!analyse.getImages())
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    {
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        cerr << "Error occured in getImages!" << endl;
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        return false;
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    }
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    else // hier werden alle vier verschiedenen Rotationsarten 'gleichzeitig' abgespeichert
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        //TODO rows and cols
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        for(int i = 0; i < mySize.row*mySize.col; i++)
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        {
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            Mat src_img1 = localImage.readImages(i);
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            Mat hsv_img1;
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            /// Convert to HSV
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            cvtColor(src_img1, hsv_img1, COLOR_BGR2HSV);
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            /// Using 50 bins for hue and 60 for saturation
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            int h_bins = 50;
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            int s_bins = 60;
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            int histSize[] = {h_bins, s_bins};
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            // hue varies from 0 to 179, saturation from 0 to 255
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            float h_ranges[] = {0, 180};
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            float s_ranges[] = {0, 256};
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            const float *ranges[] = {h_ranges, s_ranges};
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            // Use the o-th and 1-st channels
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            int channels[] = {0, 1};
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            /// Histograms
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            MatND hist_img1;
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            /// Calculate the histograms for the HSV images
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            calcHist(&hsv_img1, 1, channels, Mat(), hist_img1, 2, histSize, ranges, true, false);
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            // normalize(hist_img1, hist_img1, 0, 1, NORM_MINMAX, -1, Mat());
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            ref_partArray[iterator]->m_Histogram.image=hsv_img1;
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            iterator++;
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        }
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    InitialiseConstraintMatrixSize(mySize.col, mySize.row); //col row switched in this function
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    cout << "Done!" << endl;
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    return true;
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}
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bool AbstractionLayer_Histogram::EvaluateQuality (const coor constraintCoordinate, qualityVector& qVector){
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    //evaluateQuality = evaluateProbabilaty
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    for(int i = 0;i < qVector.size();i++)
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    {
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        if(PlaceOfPartGood(constraintCoordinate, qVector[i].second->m_Histogram.image))
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        {
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            qVector[i].first=1;
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            continue;
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        }
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        qVector[i].first=0;
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    }
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}
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bool AbstractionLayer_Histogram::PlaceOfPartGood(coor myCoor, Mat& myPart)
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{
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    HistogramComparer localComparer;
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    //sets coordinates to correct position for layer
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    if( myCoor.row == 0 && myCoor.col == 0){return true;}
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    else if(myCoor.col == 0 && myCoor.row >0){
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        if(localComparer.CompareHistogram(m_constraintMatrix[myCoor.col][myCoor.row-1].image, myPart)){
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            return true;
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        }
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        else return false;
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    }
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    else if( myCoor.row == 0 && myCoor.col >0){
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        if(localComparer.CompareHistogram(m_constraintMatrix[myCoor.col-1][myCoor.row].image, myPart)){
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            return true;
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        }
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        else return false;
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    }
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    else if (myCoor.col > 0 && myCoor.row >0){
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        if(     localComparer.CompareHistogram(m_constraintMatrix[myCoor.col][myCoor.row-1].image, myPart) &&
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                localComparer.CompareHistogram(m_constraintMatrix[myCoor.col-1][myCoor.row].image, myPart)){
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            return true;
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        }
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        else return false;
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    }else return false;
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}
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bool HistogramComparer::CompareHistogram(Mat hist_img1,Mat hist_img2)
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{
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    // Correlation
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    double Correlation = compareHist(hist_img1, hist_img2, CV_COMP_CORREL);
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    if(Correlation > 0.95 ){
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        return true;
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    }
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    else
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        return false;
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}
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bool AbstractionLayer_Histogram::SetConstraintOnPosition(const coor constraintCoordinate, const AbstractionLayer_Histogram_Properties constraint)
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{
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    m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].image=constraint.image;
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    //m_constraintMatrix[constraintCoordinate.col+1][constraintCoordinate.row+1].m_connections=constraint.m_connections;
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}
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bool AbstractionLayer_Histogram::RemoveConstraintOnPosition(const coor constraintCoordinate)
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{
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    Mat dummy(1,1,0);
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    m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].image = dummy;
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}
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@@ -1,40 +0,0 @@
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//
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// Created by Niko on 1/11/2018.
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//
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#ifndef MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_H
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#define MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_H
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#define DISPLAY false
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#define PATH "..\\..\\..\\pieces\\%04d.jpg"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include "AbstractionLayer_Histogram_Properties.h"
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#include "../AbstraktionLayer_Base.h"
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using namespace std;
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using namespace cv;
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class AbstractionLayer_Histogram : public AbstractionLayer_Base<AbstractionLayer_Histogram_Properties>
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{
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public:
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    bool PreProcessing(coor mySize, const vector<Part*>* partArray) override ;
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    bool EvaluateQuality ( coor constraintCoordinate, qualityVector& qVector)override;
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    bool RemoveConstraintOnPosition( coor constraintCoordinate)override;
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    bool PlaceOfPartGood(coor myCoor, Mat& myPart);
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    bool SetConstraintOnPosition( coor constraintCoordinate, AbstractionLayer_Histogram_Properties constraint)override;
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    qualityVector returnInBox(vector<Part>& PuzzleBox);
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    void printConstraintMatrix();
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private:
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};
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class HistogramComparer{
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public:
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    Mat readImages(int);
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    bool CompareHistogram(Mat Part, Mat RefPart);
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private:
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};
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#endif //MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_H
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@@ -1,29 +0,0 @@
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//
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// Created by Niko on 1/11/2018.
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//
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#ifndef MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_PROPERTIES_H
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#define MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_PROPERTIES_H
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#include <stdint.h>
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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using namespace cv;
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class AbstractionLayer_Histogram_Properties
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{
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public:
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    AbstractionLayer_Histogram_Properties() : Correlation(-1){}
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    double getCorrelation(){return Correlation;}
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    Mat getmHistogram(){return m_Histogram;}
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private:
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    double Correlation;
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    Mat m_Histogram;
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    Mat image;
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    friend class AbstractionLayer_Histogram;
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};
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#endif //MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_PROPERTIES_H
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