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A New Method for Appearance Quality Detection of Lens Module Based on Machine Vision

Authors: Zhang Jian-zhong; He Yong-yi;

A New Method for Appearance Quality Detection of Lens Module Based on Machine Vision

Abstract

The lens module is widely used in many types of equipment, such as mobile phone, image recognition product, iPad, computer camera module, security product, car rear view module, industrial endoscope and medical endoscope product. In the process of appearance quality inspection of lens module, it is a problem that the inspection accuracy depends mainly on manual workers. To save the time and amount of this quality detection labor, it’s necessary for us to design the lens module’s appearance quality automatic inspection system. This paper proposes a subpixel-accurate edge detection algorithm based on wavelet transform with the cubic spline interpolation for the lens module’s appearance quality inspection system. Firstly, calculate the wavelet modulus maximum, and detect a pixel-accurate edge. Then apply the cubic spline interpolation to obtain subpixel-accurate edge at the side of the pixel-accurate edge. Finally, an industrial measurement method using this subpixel-accurate edge detection algorithm is studied, and some experiments are conducted to demonstrate the effectiveness of the lens module’s appearance quality inspection system. Comparing with the traditional methods, the lens module’s appearance quality inspection system has a good anti-noise performance and stable inspection accuracy.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold