Detects a chessboard calibration grid on the image, and returns calibration points where 4 chessboard squares meet.
|inRoi||Region*||Range of pixels to be processed|
|inBoardSize||Size||Number of checkerboard squares in X and Y dimensions.|
|inFastApproximate||Bool||Fast filter execution, but result is approximate.|
Make sure that the whole calibration grid is visible in the image. Otherwise, it will not be detected because the detection algorithm requires a few pixels wide quiet zone around the chessboard. Pay attention to the number of columns and rows, as providing misleading data may make the algorithm work incorrectly or not work at all.
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
|DomainError||Input image is too small|
|DomainError||Input image must have pixels of UInt8 type|
|DomainError||Region of interest exceeds an input image.|
|DomainError||Specified board is too small, minimum size is 4x4|
This filter is available on Advanced Complexity Level.
This filter is member of DetectCalibrationGrid filter group.
- DetectCalibrationGrid_Circles – Detects an arbitrary size symmetric circle pattern on the image.