Mura Region Detection by Using 2D FFT with Exponential Kernel for Black Resin-Coated Steel
Black resin-coated steel is colored steel which is coated with ARD paint, one of high polymer series, on Electrolytic Galvanized Iron (E.G.I). In this paper, the authors propose 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.