Mura Region Detection by Using 2D FFT with Exponential Kernel for Black Resin-Coated Steel
Keywords:
2D FFT, defect detection, black resin-coated steel, mura.Abstract
This paper proposes mura region detection algorithm by using two-dimensional fast Fourier transform (2D FFT) with exponential kernel for black resin-coated steel. If the mura exists in the black resin-coated steel image, the image has large low-frequency component. To improve accuracy, multiply exponential kernel to low frequency region. The simulation results show improved performance.
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