Moderators, I posted on another discussion, but it had no activity in it since March, so I'm Re-Posting here.
I am a software engineer that is working on an application that performs image and shape diagnostics. I need to find an algorithm that re-calibrates feret dimensions. The system scans on a single pixel line. The software calibrates based on cross-direction (X) and Machine-Direction (Y). We try to make the calibration of both axis the same, but due to hardware restrictions we sometimes need drastically different calibration factors between Cross-Direction and Machine-Direction. Before calibration we are given a calculation based on the number of pixels in the shape.
Given the Max Feret Diameter, it's orientation Angle from cross direction, and the min Feret Diameter, can you re-calibrate all three values on different calibration factors, as an example, Cross-Direction Calibration Factor=0.0016143, Machine-Direction Calibration Factor=0.0044442
Please show your work so I can understand how it works