Application of Shearlet transform to classification of surface defects for metals ?
We developed a method called DST-KLPP which is effective in classification of surface defects of different metals. DST-KLPP was tested with samples of three typical metals, including slabs, hot-rolled steels and aluminum sheets. DST-KLPP provides higher classification rates than other methods, including Wavelet, Curvelet and Contourlet transform. DST-KLPP can recognize defects from complex backgrounds efficiently. DST-KLPP can recognize tiny defects from low-contrast images availably.
shearlet transform surface inspection feature extraction multi-scale geometric analysis kernel locality preserving projections