The application discloses a kind of magnetic
material defect detection systems based on image recognition, using first acquisition module, first determination module, second determination module, second acquisition module and third acquisition module, first acquisition module is used to adopt
polarized light imaging device to carry out multi-angle light illumination control to the surface of magnetic material, by adjusting polaroid angle and
light source incidence angle,
specular reflection generated by suppressing strong
light characteristic, obtain the original image data with uniform illumination distribution, if it is detected that there is overexposure area in image, then automatically adjust
exposure parameter and polarization angle, obtain the high-quality image suitable for subsequent
processing;First determination module is used to carry out multi-scale
wavelet transform
decomposition according to the high-quality image obtained, identify surface defect area by analyzing the texture features and edge information in different frequency components, if
wavelet coefficient exceeds preset threshold in high-frequency component, then it is judged as potential defect area.The
detection performance of the application is significantly improved.