50.2: Mura Detection Automation in LCD Panels by Thresholding Fused Normalized Gradient and Second Derivative Responses

An effective general algorithm for Mura defect detection based on the fusion of normalized first- and second-order derivative responses in four directions is proposed. The experiments applied on various types of pseudo-Mura with different shapes shows an efficient detection rate more than 90 percent.