43 lines
1.5 KiB
C++
43 lines
1.5 KiB
C++
#include "processing.h"
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Processing::Processing(/* args */)
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{
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}
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Processing::~Processing()
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{
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}
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static double angle( Point pt1, Point pt2, Point pt0 )
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{
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double dx1 = pt1.x - pt0.x;
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double dy1 = pt1.y - pt0.y;
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double dx2 = pt2.x - pt0.x;
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double dy2 = pt2.y - pt0.y;
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return (dx1*dx2 + dy1*dy2)/sqrt((dx1*dx1 + dy1*dy1)*(dx2*dx2 + dy2*dy2) + 1e-10);
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}
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void Processing::processImage(Mat& inputPicture, int thresholdBinary, int gaussKernelSize, int thresholdCanny1, int thresholdCanny2, int apertureSizeCanny)
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{
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//Idea here is: Processing module consists of two methods:
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// One (this) to do all kinds of stuff to the picture (grayscale conversion, threshold, gauss etc etc)
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// And one (the other one) to segment the lines.
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// No return value here as the input is passed by reference -> directly modified.
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cvtColor(inputPicture, inputPicture, COLOR_BGR2GRAY);
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threshold(inputPicture, inputPicture, thresholdBinary, 255, THRESH_BINARY);
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GaussianBlur(inputPicture, inputPicture, Size(gaussKernelSize, gaussKernelSize), 0);
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Canny(inputPicture, inputPicture, thresholdCanny1, thresholdCanny2, apertureSizeCanny);
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}
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std::vector<Vec4i> Processing::calculateLineSegments(const Mat& inputPicture)
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{
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//See following link
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//https://stackoverflow.com/questions/45322630/how-to-detect-lines-in-opencv
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vector<Vec4i> lines;
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VectorOfLines linesInVectors;
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HoughLinesP(inputPicture, lines, 1, CV_PI/360, 150, 0, 250);
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//lines = linesInVectors.findMiddleLine(lines);
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return lines;
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}
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