Calibration World Coordinates With Remapped Images

1. Add EnumerateImages and specify the directory to images in inDirectory.

2. Add the RectifyImage filter. Connect outImage to inImage. Click on the filter and in the Properties window, and then click on the inRectificationMap input.

3. In the Calibration Editor you need to follow the exact same steps as it was described in the Calibration World Coordinates On Original Images example in steps 8-14 except for one additional step:

4. If you have prepared the rectification transform, now you can proceed with the algorithm - add the LocateSingleObject_Edges1 filter and create a new edge model by clicking on the inEdgeModel input in the Properties window of the filter. Create your model in a following way:

5. You can also narrow the search region down to accelerate computations by clicking on the inSearchRegion input in the Properties window of the filter and marking a suitable area. Additionally, to increase the accuracy of matching the template:

   • Set inMaxPyramidLevel to 2,
   • Set inMinScore to 0.6.

6. Now add two FitCircleToEdges filters. Connect outImage to inImage and outObject.Alignment to inFittingFieldAlignment (for both filters at once).

7. For both of the filters, determine inFittingField, so that circles are correctly fitted. Set inEdgeScanParams.EdgeTransition to DarkToBright as circles are black. Right-click on the outCircle output, select Property Outputs and choose Center.

8. Now add the PointToPointDistance filter and connect outCircle.Center from both of the filters to inPoint1 and inPoint2 respectively. This filter will allow you to calculate the distance in pixels between the centers of the circles.

9. To compute the world coordinates, use two ImagePointsToWorldPlane filters and connect Center Points from the FitCircleToEdges filters to the inImagePoints input. Finally, connect outRectifiedTransform to inTransform in both filters.

Macrofilter Main