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,
industrialendoscope 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.
Author: Zhang Jian-zhong, He
Yong-yi
Journal Code: jptkomputergg160122
