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- #include "processing.h"
-
- Processing::Processing(/* args */)
- {
- }
-
- Processing::~Processing()
- {
- }
-
- 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);
- 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;
- }
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