IntensityImage * ImageFactory::newIntensityImage(const IntensityImage &other) {
IntensityImage * image = ImageFactory::newIntensityImage(other.getWidth(), other.getHeight());
int size = other.getHeight() * other.getWidth();
for (int i = 0; i < size; i++) {
image->setPixel(i, other.getPixel(i));
}
return image;
}
IntensityImageStudent::IntensityImageStudent(const IntensityImage &other) : IntensityImage(other.getWidth(), other.getHeight()), pixelMap(nullptr) {
const int SIZE = other.getSize();
if(SIZE > 0) {
pixelMap = new Intensity[SIZE];
for(int i = 0; i < SIZE; i++) {
pixelMap[i] = other.getPixel(i);
}
}
}
int StudentLocalization::getTopOfHead(const IntensityImage &image){
for (int y = 0; y < image.getHeight(); y++){
for (int x = 0; x < image.getWidth(); x++) {
if (image.getPixel(x, y) == 0){
return y;
}
}
}
return -1;
}
void IntensityImageStudent::set(const IntensityImage &other) {
const int SIZE = other.getSize();
IntensityImage::set(other.getWidth(), other.getHeight());
if (SIZE > 0) {
delete[] pixelMap;
pixelMap = new Intensity[SIZE];
for (int i = 0; i < SIZE; i++) {
pixelMap[i] = other.getPixel(i);
}
}
}
void HereBeDragons::HerLoveForWhoseDearLoveIRiseAndFall(const IntensityImage &src, cv::Mat &dst) {
int w = src.getWidth();
int h = src.getHeight();
dst.create(h, w, CV_8UC1);
for (int x = 0; x < dst.cols; x++) {
for (int y = 0; y < dst.rows; y++) {
dst.at<uchar>(y, x) = src.getPixel(x, y);
}
}
}
bool StudentLocalization::stepFindHead(const IntensityImage &image, FeatureMap &features) const {
int yTop = getTopOfHead(image);
int alpha = 13;
int* histogram;
int left, right;
int diffFirstLast = -1, maxDiffFirstLast = -1;
int ySides = -1;
//number of slices the image will be 'cut' into for the histograms
int count = ((image.getHeight() - yTop - 1) / alpha) + 1;
for (int i = 0; i < count; i++) {
//get histogram of current slice
histogram = getHistogramX(image, alpha, yTop + i * alpha);
findSidesInHistogram(histogram, image.getWidth(), &left, &right);
//if no two sides have been found continue to the next slice
if (left == -1 || right == -1) {
continue;
}
//find the first peak gap between the left and right side to detect the position of the ears
diffFirstLast = right - left;
if (diffFirstLast > maxDiffFirstLast) {
maxDiffFirstLast = diffFirstLast;
}
else {
//if the gap is lower than the max, a peak has been found
//and the y position of the ears will be set to the middle of the slice
//where the peak is detected
ySides = yTop + (i + 1) * alpha;
break;
}
}
//if no peak is detected return false
if (ySides == -1) {
return false;
}
//set the results in the feature map
Point2D<double> * pointLeftSideHead = new Point2D<double>(left, ySides);
Feature * leftSideHead = new Feature(Feature::FEATURE_HEAD_LEFT_SIDE, *pointLeftSideHead);
features.putFeature(*leftSideHead);
Point2D<double> * pointRightSideHead = new Point2D<double>(right, ySides);
Feature * rightSideHead = new Feature(Feature::FEATURE_HEAD_RIGHT_SIDE, *pointRightSideHead);
features.putFeature(*rightSideHead);
Point2D<double> * pointTopOfHead = new Point2D<double>((left + right) / 2, yTop);
Feature * topOfHead = new Feature(Feature::FEATURE_HEAD_TOP, *pointTopOfHead);
features.putFeature(*topOfHead);
return true;
}
void LuminosityAlgorithm::doAlgorithm(const RGBImage& input, IntensityImage& output)
{
// Check image size
if (input.getWidth() != output.getWidth() || input.getHeight() != output.getHeight()) {
output.set(input.getWidth(), input.getHeight());
}
// Lunimosity Algorithm defined as
// Gray = (Red * 0.2126 + Green * 0.7152 + Blue * 0.0722)
for (int i = 0; i < input.getWidth()*input.getHeight(); i++) {
RGB pixel = input.getPixel(i);
output.setPixel(i, pixel.r * 0.2126 + pixel.g * 0.7152 + pixel.b * 0.0722);
}
}
void Test::RunCannyTest(const RGBImage* in) {
Gaussian smoother;
Sobel sobel;
Canny canny;
StudentPreProcessing converter;
double sigma = 1.6;
int kernelSize = 5;
// Convert RGB to Intensity
IntensityImage* grey = ImageFactory::newIntensityImage(in->getWidth(), in->getHeight());
grey = converter.stepToIntensityImage(*in);
BaseTimer timer;
int total = 0;
for (int i = 0; i < 10; ++i) {
timer.start();
/* Start of Canny */
// 1. Smooth Intensity with Gaussian
IntensityImage* gaussian = ImageFactory::newIntensityImage(in->getWidth() - kernelSize, in->getHeight() - kernelSize);
smoother.smoothImage(grey, gaussian, sigma, kernelSize);
// 2. Find edges with Sobel (convolve X and Y separately for Canny)
int sobelKernelSize = 3;
IntensityImage* sobelX = ImageFactory::newIntensityImage(gaussian->getWidth() - sobelKernelSize, gaussian->getHeight() - sobelKernelSize);
IntensityImage* sobelY = ImageFactory::newIntensityImage(gaussian->getWidth() - sobelKernelSize, gaussian->getHeight() - sobelKernelSize);
sobel.filterXY(gaussian, sobelX, sobelY);
// 3. Apply non-maximum suppresion
IntensityImage* nonMaxSuppression = ImageFactory::newIntensityImage(sobelX->getWidth(), sobelX->getHeight());
canny.nonMaximumSurpression(sobelX, sobelY, nonMaxSuppression);
// 4. Apply hysteresis threshold
IntensityImage* hysteresisThreshold = ImageFactory::newIntensityImage(sobelX->getWidth(), sobelX->getHeight());
canny.threshold(nonMaxSuppression, hysteresisThreshold, 60, 70);
timer.stop();
std::cout << timer.elapsedMilliSeconds() << " ms" << std::endl;
total += timer.elapsedMilliSeconds();
timer.reset();
if (i == 9)
ImageIO::saveIntensityImage(*hysteresisThreshold, ImageIO::getDebugFileName("Canny.png"));
}
std::cout << "Average time per Canny edge detection: " << (total / 10) << " ms" << std::endl;
std::cout << "Press the X in the console window to exit program" << std::endl;
}
IntensityImageStudent GaussianFilter::applyFilter(const IntensityImage &image)
{
IntensityImageStudent filteredImage = IntensityImageStudent(image.getWidth() - 2 * radius, image.getHeight() - 2 * radius);
for (int y = 0; y < filteredImage.getHeight(); y++){
for (int x = 0; x < filteredImage.getWidth(); x++){
double filteredIntensity = 0.0;
for (unsigned int i = 0; i < gaussKernel.size(); i++){
filteredIntensity += gaussKernel[i] * image.getPixel(x + (i % (2 * radius + 1)), y + i / (2 * radius + 1));
}
filteredImage.setPixel(x, y, static_cast<Intensity>(filteredIntensity));
}
}
return filteredImage;
}
void HereBeDragons::NoWantOfConscienceHoldItThatICall(const cv::Mat &source, IntensityImage &dst) {
int type = source.type();
if (type != CV_8UC1) {
// throw std::exception("OpenCV Mat source image not of type CV_8UC1!");
throw std::exception{};
}
dst.set(source.cols, source.rows);
for (int x = 0; x < source.cols; x++) {
for (int y = 0; y < source.rows; y++) {
dst.setPixel(x, y, source.at<uchar>(y, x));
}
}
}
bool StudentLocalization::stepFindChinContours(const IntensityImage &image, FeatureMap &features) const {
const Feature & mouthCenter = features.getFeature(Feature::FEATURE_MOUTH_CENTER);
const Feature & chin = features.getFeature(Feature::FEATURE_CHIN);
Feature & chinContour = features.getFeature(Feature::FEATURE_CHIN_CONTOUR);
// The mouth could interfere with the localization of the chin contours.
// Therefore use an offset based on which mouthcorner is the furthest away.
// This however could still prove troublesome, so add a slight margin;
// represented by the 'magic' number.
const double radius = chin.getY() - mouthCenter.getY();
const double smallestOffsetRadiusFactor = 0.75;
const double biggestOffsetRadiusFactor = 2;
//
// 180° matches half a circle.
// 0° points to the east in goniometrics, where increasing angles are counter-clockwise.
// Since the chin is usually on the bottompart of the image, the points either need to be
// found clockwise (-180), or start looking at an offset.
//
const int halfCircle = 180;
const int angleStepSize = 10;
// roughly 19 points need to be found.
// 0 through 18 does just that.
for (int i = 0; i <= halfCircle / angleStepSize; ++i)
{
// Determine the angle of the line among which we try to look for a point on the chin's contour.
int angle = halfCircle + i * angleStepSize;
// The size of a step in both the horizontal and verticical direction along the line with the current angle.
double xDir = std::cos(angle * M_PI / 180.0);
double yDir = -std::sin(angle * M_PI / 180.0);
// Normalized size of a step that is made alongside the current angle.
const double increment = 1;
// Make multiple steps alongside the current angle within bounds where it is likely a contour for the chin.
for (double distance = radius * smallestOffsetRadiusFactor; distance < radius * biggestOffsetRadiusFactor; distance += increment)
{
// Determine the location to check for a contour of the chin.
double xCheck = mouthCenter.getX() + (xDir * distance);
double yCheck = mouthCenter.getY() + (yDir * distance);
// Image should be thresholded grayscale, where the pixels are eiher 0 or 255; check in the middle of it.
const unsigned char treshhold = 128;
if (image.getPixel(xCheck, yCheck) <= treshhold)
{
chinContour.addPoint(Point2D<double>(xCheck, yCheck));
std::cout << "Found contour at: " << xCheck << "; " << yCheck << "\n";
break;
}
}
}
return (chinContour.getPoints().size() > 0);
}
SonnetXVIII HereBeDragons::YetWhoKnowsNotConscienceIsBornOfLove(const IntensityImage &Yet, const int Who, const int Knows, const int Not, const int Conscience){
SonnetXVIII Is(Conscience);
int Born = 0;
for (int y = Knows; y < (Knows + Conscience); y++){
for (int x = Who; x < (Who + Not); x++){
if (Yet.getPixel(x, y) == 0){
Is[Born]++;
}
}
Born++;
}
return Is;
}
SonnetXVIII HereBeDragons::LoveIsTooYoungToKnowWhatConscienceIs(const IntensityImage &Love, const int Is, const int Too, const int Young, const int To){
SonnetXVIII Know(Young);
int What = 0;
for (int x = Is; x < (Is + Young); x++){
for (int y = Too; y < (Too + To); y++){
if (Love.getPixel(x, y) == 0){
Know[What]++;
}
}
What++;
}
return Know;
}
bool StudentLocalization::stepFindChinContours(const IntensityImage &image, FeatureMap &features) const {
//Get the position of the mouth
Feature Mouth = features.getFeature(Feature::FEATURE_MOUTH_TOP);
Point2D<double> MouthPosition;
//Initialise the chin feature
std::vector<Point2D<double>> ChinPositions;
Feature Chin = Feature(Feature::FEATURE_CHIN);
Feature ChinContour = Feature(Feature::FEATURE_CHIN_CONTOUR);
int y = 0;
int m = 0;
//Draw a half circle starting from the center of the mouth
for (int j = HALF_CIRCLE; j > 0; j -= DEGREE_STEP){
//reset the position of the mouth
MouthPosition.set(Mouth.getX(), Mouth.getY());
MouthPosition.set(drawLine(j, START_POSITION, MouthPosition));
m = m + 1;
for (int i = 0; i < MEASURE_RANGE; i++){
MouthPosition.set(drawLine(j, MEASURE_STEP, MouthPosition));
Intensity pixel = image.getPixel(MouthPosition.getX(), MouthPosition.getY());
// If the intensity of the current pixel is lower than 2 (which means it is black)
if (pixel < 2){
// If the current angle is within the bounds of the half circle
if (j < RIGHT_HALF && j > LEFT_HALF){
ChinContour.addPoint(drawLine(j, 2, MouthPosition));
}
else{
//Draw a point on the mouth position, to indicate the detection failed.
ChinContour.addPoint(MouthPosition);
}
break;
}
}
}
features.putFeature(ChinContour);
return true;
}
bool StudentLocalization::stepFindHead(const IntensityImage &image, FeatureMap &features) const {
Histogram AxisY(image, 50, 50, 0, 0, Axis::y);
//determine top of the head
int topHead = -1;
for (int i = 0; i < AxisY.getSize(); ++i) {
if (AxisY.getValue(i) > 2) {
topHead = i;
break;
}
}
if (topHead == -1) {
return false;
}
//determine sides
int lastLeftX = -1;
int lastRightX = -1;
for (int y = topHead; y < image.getHeight(); y += 20) {
Histogram layerX(image, 0, 0, y, (image.getHeight() - y - 20), Axis::x);
//determine leftside of the head
int leftX = -1;
for (int i = 0; i < layerX.getSize(); ++i) {
if (layerX.getValue(i) > 2) {
leftX = i;
break;
}
}
//determine rightside of the head
int rightX = -1;
for (int i = layerX.getSize() - 1; i >= 0 ; --i) {
if (layerX.getValue(i) > 2) {
rightX = i;
break;
}
}
// if not both sides are found skip the rest of the loop
if (leftX == -1 || rightX == -1) {
continue;
}
int currentHeadWidth = rightX - leftX;
int lastHeadWidth = lastRightX - lastLeftX;
if (currentHeadWidth < lastHeadWidth) {
Feature * headUpperBound = new Feature(Feature::FEATURE_HEAD_TOP, Point2D<double>(lastRightX - (currentHeadWidth / 2), topHead));
Feature * headLeftBound = new Feature(Feature::FEATURE_HEAD_LEFT_SIDE, Point2D<double>(lastLeftX, y));
Feature * headRightBound = new Feature(Feature::FEATURE_HEAD_RIGHT_SIDE, Point2D<double>(lastRightX, y));
features.putFeature(*headUpperBound);
features.putFeature(*headLeftBound);
features.putFeature(*headRightBound);
return true;
}
lastLeftX = leftX;
lastRightX = rightX;
}
return false;
}
void drawFeatureDebugImage(IntensityImage &image, FeatureMap &features) {
RGB colorRed(244, 67, 54);
RGBImage * debug = ImageFactory::newRGBImage(image.getWidth(), image.getHeight());
ImageIO::intensityToRGB(image, *debug);
//Nose
Point2D<double> noseLeft = features.getFeature(Feature::FEATURE_NOSE_END_LEFT)[0];
Point2D<double> noseRight = features.getFeature(Feature::FEATURE_NOSE_END_RIGHT)[0];
Point2D<double> nostrilLeft = features.getFeature(Feature::FEATURE_NOSTRIL_LEFT)[0];
Point2D<double> nostrilRight = features.getFeature(Feature::FEATURE_NOSTRIL_RIGHT)[0];
Point2D<double> noseBottom = features.getFeature(Feature::FEATURE_NOSE_BOTTOM)[0];
//These (weird) methods can be used to draw debug points
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, noseLeft, colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, noseRight, colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, nostrilLeft, colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, nostrilRight, colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, noseBottom, colorRed);
//Chin
std::vector<Point2D<double>> points = features.getFeature(Feature::FEATURE_CHIN_CONTOUR).getPoints();
for (size_t i = 0; i < points.size(); i++) {
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, points[i], colorRed);
}
//Eye
Feature leftEye = features.getFeature(Feature::FEATURE_EYE_LEFT_RECT);
Feature rightEye = features.getFeature(Feature::FEATURE_EYE_RIGHT_RECT);
//These (weird) methods can be used to draw debug rects
HereBeDragons::AsHisTriumphantPrizeProudOfThisPride(*debug, leftEye[0], leftEye[1], colorRed);
HereBeDragons::AsHisTriumphantPrizeProudOfThisPride(*debug, rightEye[0], rightEye[1], colorRed);
//Head
Feature headTop = features.getFeature(Feature::FEATURE_HEAD_TOP);
Feature headLeftNoseMiddle = features.getFeature(Feature::FEATURE_HEAD_LEFT_NOSE_MIDDLE);
Feature headLeftNoseBottom = features.getFeature(Feature::FEATURE_HEAD_LEFT_NOSE_BOTTOM);
Feature headRightNoseMiddle = features.getFeature(Feature::FEATURE_HEAD_RIGHT_NOSE_MIDDLE);
Feature headRightNoseBottom = features.getFeature(Feature::FEATURE_HEAD_RIGHT_NOSE_BOTTOM);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, headTop[0], colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, headLeftNoseMiddle[0], colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, headLeftNoseBottom[0], colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, headRightNoseMiddle[0], colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, headRightNoseBottom[0], colorRed);
//Mouth
Point2D<double> mouthTop = features.getFeature(Feature::FEATURE_MOUTH_TOP)[0];
Point2D<double> mouthBottom = features.getFeature(Feature::FEATURE_MOUTH_BOTTOM)[0];
Point2D<double> mouthLeft = features.getFeature(Feature::FEATURE_MOUTH_CORNER_LEFT)[0];
Point2D<double> mouthRight = features.getFeature(Feature::FEATURE_MOUTH_CORNER_RIGHT)[0];
//This (weird) method can be used to draw a debug line
HereBeDragons::ButRisingAtThyNameDothPointOutThee(*debug, mouthLeft, mouthRight, colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, mouthTop, colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, mouthBottom, colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, mouthLeft, colorRed);
HereBeDragons::TriumphInLoveFleshStaysNoFatherReason(*debug, mouthRight, colorRed);
ImageIO::saveRGBImage(*debug, ImageIO::getDebugFileName("feature-points-debug.png"));
delete debug;
}
bool StudentLocalization::stepFindChinContours(const IntensityImage &image, FeatureMap &features) const {
// Maak een basetimer object om de tijd bij te houden dat de implementatie nodig heeft.
BaseTimer basetimer;
// Start de basetimer.
basetimer.start();
// test getal
int startStep = 15;
bool first = true;
// Sla het middenpunt van de mond op.
Point2D<double> MouthCenterPoint = features.getFeature(Feature::FEATURE_MOUTH_CENTER).getPoints()[0];
// Sla het kin punt op.
Point2D<double> ChinPoint = features.getFeature(Feature::FEATURE_CHIN).getPoints()[0];
int range = MouthCenterPoint.getY() - ChinPoint.getY();
// Object om kincountoer punten in op te slaan.
Feature output = Feature(Feature::FEATURE_CHIN_CONTOUR);
int degrees;
int steps = 15;
int lastdif;
double correction = -1;
int lastSteps = 0;
int vorigeX = 0;
// Bereken 20 punten van de kin.
for (int i = 0; i < 19; i++)
{
bool ireg = false;
if (i>9)
{
correction = 1;
}
else if (i < 9)
{
correction =0;
}
// Sla middelpunt mond x op.
int checkX = MouthCenterPoint.getX();
// Sla middelpunt mond y op.
int checkY = MouthCenterPoint.getY();
double gradenInRad = (-90+(i * 10)) *(PI/180);
steps = startStep;
Point2D<double> gevondenPunt;
// Middelste punt van de kin is als het goed is bekend. Dit is punt nummer 9 dus zal worden overgeslagen.
if (i != 9)
{
while (true)
{
if (!first&&steps > startStep + 10)
{
lastdif / i;
ireg = true;
gevondenPunt.set(MouthCenterPoint.getX() + ((lastSteps + correction)* std::sin(gradenInRad)), MouthCenterPoint.getY() + ((lastSteps + correction) * std::cos(gradenInRad)));
steps = lastSteps + correction;
break;
}
checkX = MouthCenterPoint.getX()+ (steps * std::sin(gradenInRad));
checkY = MouthCenterPoint.getY()+(steps * std::cos(gradenInRad));
Intensity pixel = image.getPixel(std::round(checkX), std::round(checkY));
if (int(pixel) == 0)
{
if (checkX - vorigeX <2)
{
lastdif / i;
ireg = true;
gevondenPunt.set(MouthCenterPoint.getX() + ((lastSteps + correction)* std::sin(gradenInRad)), MouthCenterPoint.getY() + ((lastSteps + correction) * std::cos(gradenInRad)));
steps = lastSteps + correction;
break;
}
ireg=false;
gevondenPunt.set(checkX, checkY); break;
}
steps++;
}
vorigeX = checkX;
std::cout << gevondenPunt <<"\n";
startStep = steps - 5;
output.addPoint(Point2D<double>(gevondenPunt.x,gevondenPunt.y));
first=false;
if (ireg)
{
startStep = steps-5;
lastSteps = steps;
}
else
{
lastdif = lastSteps - steps;
lastSteps = steps;
}
}
else
{
output.addPoint(ChinPoint);
}
}
features.putFeature(output);
basetimer.stop();
std::ofstream myfile;
myfile.open("tijd.txt", std::ofstream::ate);
myfile << "Chincontours convert tijd in s: " << basetimer.elapsedSeconds() << " tijd ms:" << basetimer.elapsedMilliSeconds() << " tijd us" << basetimer.elapsedMicroSeconds();
myfile.close();
return true;
}
