In this paper, a method integrating image processing and signal frequency is used to estimate relative misalignment of
micro-structure the Double-sided Lenticular Lens Films (LLF). The pitch of the convex on each side of the LLF is
900μm. The main steps of this research consist of image denoising, edge detection and establishment of the
misalignment v.s. image magnitude relation. A Butterworth low-pass filter is used to eliminate the noise due to debrits
on the polymer substrate. The images that are acquired from LLFs for different relative misalignment quantities are used
to analyze the spectrum and get its relation between misalignment position and frequency energy distribution. The
experiment shows the proposed method may distinguish between cases with different relative misalignment of microstructure
on LLF with a resolution of 20μm.
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