
#include #include #include #include using namespace std; using namespace cv; #define PI 3.1415926 int main() { Mat input = imread("road.jpg", IMREAD_GRAYSCALE); Mat contours; vector lines; // applying canny algorithm Canny(input, contours, 125, 350); /************* Probabilistic hough transform *************/ HoughLinesP(contours,// InputArray lines,// OutputArray 1,// rho PI / 180,// theta (ste..
#include #include #include #include using namespace std; using namespace cv; #define PI 3.1415926 int main() { Mat image = imread("road.jpg", IMREAD_GRAYSCALE); // Apply Canny algorithm Mat contours; Canny(image, contours, 125, 350); //*************** Basic hough transform *************** // Mat BasicHoughTransform; image.copyTo(BasicHoughTransform); // Hough transform for line detection vector ..
#include #include #include #include using namespace std; using namespace cv; #define PI 3.1415926 class EdgeDetector { private: // original image Mat img; // 16-bit signed int image Mat sobel; // Aperture size of the Sobel kernel int aperture; // Sobel magnitude Mat sobelMagnitude; // Sobel orientation Mat sobelOrientation; public: EdgeDetector() : aperture(3) {} // Set the aperture size of the ..
- Total
- Today
- Yesterday
- high pass filter
- hough transform
- mean filter
- bilateral filter
- pyrDown
- dilation
- Line Detection
- canny operator
- top hat
- gradient
- median filter
- Low pass filter
- 캐니 엣지
- laplacian of gaussian
- morphological operation
- black top hat
- adaptive thresholding
- Filter
- difference of gaussian
- upsampling
- 영상처리
- Sobel
- pyrUp
- OpenCV
- segmentation
- erosion
- canny
- equalizing
- morphology
- direction detection
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