Article ID Journal Published Year Pages File Type
10420583 Precision Engineering 2013 9 Pages PDF
Abstract
► We present a new image segmentation method to detect the Mura defects. ► Mura detection is based on a balanced discrete-cosine-transfer (BDCT) method. ► We overcome the limitations of DCT methods in reconstructing image background. ► Six important steps are taken essentially to extract Mura defect regions.
Keywords
Related Topics
Physical Sciences and Engineering Engineering Industrial and Manufacturing Engineering
Preview
An effective image segmentation method for noisy low-contrast unbalanced background in Mura defects using balanced discrete-cosine-transfer (BDCT)
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