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