GeneralizedHoughGuil Generalized Hough transform
Finds arbitrary template in the grayscale image using
Generalized Hough Transform.
Detects position, translation and rotation.
References
Guil, N., Gonzalez-Linares, J.M. and Zapata, E.L. (1999).
Bidimensional shape detection using an invariant approach.
Pattern Recognition 32 (6): 1025-1038.
| AngleEpsilon |
Maximal difference between angles that treated as equal. default 1.0 |
| AngleStep |
Angle step in degrees. default 1.0 |
| AngleThresh |
Angle votes threshold. default 15000 |
| CannyHighThresh |
Canny high threshold. default 100 |
| CannyLowThresh |
Canny low threshold. default 50 |
| Dp |
Inverse ratio of the accumulator resolution to the image resolution. |
| Levels |
Feature table levels. default 360 |
| MaxAngle |
Maximal rotation angle to detect in degrees. default 360 |
| MaxBufferSize |
Maximal size of inner buffers. default 1000 |
| MaxScale |
Maximal scale to detect. default 2.0 |
| MinAngle |
Minimal rotation angle to detect in degrees. default 0.0 |
| MinDist |
Minimum distance between the centers of the detected objects. |
| MinScale |
Minimal scale to detect. default 0.5 |
| PosThresh |
Position votes threshold. default 100 |
| ScaleStep |
Scale step. default 0.05 |
| ScaleThresh |
Scale votes threshold. default 1000 |
| Xi |
Angle difference in degrees between two points in feature. |
| id |
Object ID |