Features detection (Hough)
Detailed Description
Collaboration diagram for Features detection (Hough):
Functions | |
| template<class T1 , class T2 > | |
| RES_T | houghLines (Image< T1 > &imIn, double thetaRes, double rhoRes, Image< T2 > &imOut) |
| Hough Lines. More... | |
| template<class T1 , class T2 > | |
| RES_T | houghCircles (Image< T1 > &imIn, double xyResol, double rhoResol, Image< T2 > &imOut) |
| Hough Circles. More... | |
| template<class T1 , class T2 > | |
| RES_T | houghCircles (Image< T1 > &imIn, double resol, Image< T2 > &imOut, Image< T2 > &imRadiiOut) |
| Hough Circles. | |
Function Documentation
◆ houghLines()
Hough Lines.
houghLines
- Parameters
-
[in] imIn - input image [in] thetaRes - angle resolution - scale in fraction of 180 degres [in] rhoRes - length resolution - fraction of maximum distance in the image [out] imOut - output image
◆ houghCircles()
| RES_T smil::houghCircles | ( | Image< T1 > & | imIn, |
| double | xyResol, | ||
| double | rhoResol, | ||
| Image< T2 > & | imOut | ||
| ) |
Hough Circles.
Hough Circles (2D Images)
- Parameters
-
[in] imIn : input image [in] xyResol : distance resolution for circle center [in] rhoResol : distance resolution for radius [out] imOut : output image with Hough Transform for circles
