#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 ..
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- Today
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- bilateral filter
- canny operator
- 영상처리
- difference of gaussian
- top hat
- hough transform
- OpenCV
- upsampling
- 캐니 엣지
- segmentation
- high pass filter
- laplacian of gaussian
- median filter
- erosion
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- direction detection
- equalizing
- morphological operation
- morphology
- dilation
- mean filter
- Filter
- canny
- pyrDown
- Low pass filter
- adaptive thresholding
- pyrUp
- Line Detection
- gradient
- black top hat
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