Hough Circle Detection
Function: Hough Circle Detection
Input Parameters:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
Input image |
MonoImage |
None |
None |
Grayscale image |
Output Parameters:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
Detection results |
DetectInstance |
None |
{} |
Returns bounding boxes, categories, scores and polygon. |
Center point |
List |
None |
[] |
Center point |
Radius |
List |
None |
[] |
Radius |
Parameter Settings:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
Testing method |
String |
['HOUGH_GRADIENT', 'HOUGH_GRADIENT_ALT'] |
HOUGH_GRADIENT |
Detection method. |
Minimum circular center distance |
Float |
[0.0, 800.0] |
200 |
The minimum distance between the detected centers of the circle. If the parameter is too small, it is possible to incorrectly detect multiple adjacent circles in addition to one real circle. If the parameter is too large, some circles may be missed. |
Canny parameters |
Float |
[0.0, 1000.0] |
100 |
Canny parameters. |
Candidate score threshold |
Float |
[0.0, 1000.0] |
1 |
Candidate score threshold. |
Min radius |
Integer |
[1, 800] |
100 |
Minimum pixel radius. |
Maximum radius |
Integer |
[1, 800] |
200 |
Maximum pixel radius. |