This study proposes a three-dimensional size detection system for inerratic magnetic sheets according to specific
size parameter requirements, such as the volume of the industrial micro magnetic sheet. Based on the noise interference
generated by the corresponding detection environment of the magnetic sheet, a hybrid filtering method for the inerratic
magnetic sheet is also proposed here, which effectively implements denoising filtering. In the image edge detection module,
the edge detection operator most suitable for detecting image edge extraction is selected, and in order to realize the
inerratic shape detection in Hough transform, the measurement function of size parameters (including the top surface radius,
tilt angle of the profile and top surface, profile thickness, and volume) for the micro cylinder magnetic sheet are designed
and implemented. Measurement data, gathered through repeated experiments, builds a more effective detection
system for magnetic sheet size than traditional methods at the millimeter level.