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#include "processing.h"
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Processing::Processing(/* args */)
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{
}
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Processing::~Processing()
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{
}
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static double angle( Point pt1, Point pt2, Point pt0 )
{
double dx1 = pt1.x - pt0.x;
double dy1 = pt1.y - pt0.y;
double dx2 = pt2.x - pt0.x;
double dy2 = pt2.y - pt0.y;
return (dx1*dx2 + dy1*dy2)/sqrt((dx1*dx1 + dy1*dy1)*(dx2*dx2 + dy2*dy2) + 1e-10);
}
void Processing::processImage(Mat& inputPicture, int thresholdBinary, int gaussKernelSize, int thresholdCanny1, int thresholdCanny2, int apertureSizeCanny)
{
//Idea here is: Processing module consists of two methods:
// One (this) to do all kinds of stuff to the picture (grayscale conversion, threshold, gauss etc etc)
// And one (the other one) to segment the lines.
// No return value here as the input is passed by reference -> directly modified.
cvtColor(inputPicture, inputPicture, COLOR_BGR2GRAY);
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GaussianBlur(inputPicture, inputPicture, Size(gaussKernelSize, gaussKernelSize), 0);
threshold(inputPicture, inputPicture, thresholdBinary, 255, THRESH_BINARY);
//Perform a opening
Mat kernel(5,5, CV_8UC1,1);
morphologyEx(inputPicture, inputPicture, 2, kernel);
}
FrameData Processing::calculateLineSegments(const Mat& inputPicture, const cv::Rect& roi)
{
FrameData data;
cv::findContours(inputPicture, data.contours, RETR_LIST, CHAIN_APPROX_SIMPLE);
//Delete the areas that are too small
auto iterator = data.contours.begin();
while(iterator != data.contours.end())
{
if (contourArea(*iterator) < 3500)
{
iterator = data.contours.erase(iterator);
}
else
{
Rect boundingBox = boundingRect(*iterator);
boundingBox.x += roi.x;
boundingBox.y += roi.y;
data.boundingBoxes.push_back(boundingBox);
data.middlePoints.push_back(Point(boundingBox.x+boundingBox.width/2, boundingBox.y+boundingBox.height/2));
data.leftEdges.push_back(Point(boundingBox.x, boundingBox.y+boundingBox.height/2));
++iterator;
}
}
return data;
}