Fertilizer Granulation

1. In Workspace Explorer, open the workspace Examples, and in the Filmstrip window, select the FertilizerGranulation dataset. Drag the Image channel to the ACQUIRE section.
2. To easily distinguish the dots, use the SmoothImage_Gauss to make the image blurred. Change the inStdDevX to 2.5.
3. Add the ImageLocalMaxima filter to detect all the centers of the circles-to-be. Change the inConsiderPlateaus to True.
4. Create a circle using the CreateCircle filter. To the inPoint connect the outLocalMaxima.Point - detected centers of the circles. Set the inRadius parameter in filter properties as 8.
5. The next step is to fit the circles to the original image. You can do it with the FitCircleToRidges filter. As the inImage use the original image. Connect the outCircle positions to the inFittingField.Axis. Change of the following parameters will be required:
   • the inScanCount - 16
   • the inScanWidth - 1
   • the SmoothingStdDev - 0
   • the RidgeWidth - 2
   • the MinMagnitude - 3
   • the inRidgeSelection - First
   • the inMaxIncompleteness - 0.9
   • the inFittingMethod - AlgebraicKasa
   • the inOutlierSuppression - Tukey
   • the inFittingField.Width - 14
6. Create a formula using right-click and the Add Formula Here option to compare the outCircle.Radius. Set the minimal value as 6 and maximal value as 10. Add ?? False at the end of it to filter out any Nil occurrences and set them as False by default.
7. Add the DrawCircles_MultiColor. As the inImage use the original image. To the inCircles connect the outCircle from the FitCircleToRidges filter. Connect the outIsInRange to the inColorIds. You can change the marking hue in the properties of the filter. They are green and red by default.

Macrofilter Main