Inspection of Improved Ghost Imaging for Hight-Light Led with Different Factory Quality

8 Pages Posted: 12 Jun 2023

See all articles by Kuosheng Jiang

Kuosheng Jiang

Anhui University of Science and Technology

Mingjun Ju

Anhui University of Science and Technology

Zhixiong Li

Ocean University of China

Abstract

We propose a new method for nonlinear feature extraction and inspection of visual weak signals from highlight-emitting rather than "interference" bright objects. Based on the ghost image principle, the highlight characteristics of the light source become a useful characteristic. Optimized design of ghost lens group, visual inspection of bright objects for the purpose of obtaining ghost images with high signal-to-noise ratio. We improved the high-brightness LED appearance quality inspection experiment of ghost image. Results show that the inspection method of improved ghost image of highlighted objects combined with deep learning has a good detection result. There is great potential for visual inspection of objects with high brightness or high reflective properties.

Keywords: Highlight project, Weak signal, Ghost image, Lens group, LED

Suggested Citation

Jiang, Kuosheng and Ju, Mingjun and Li, Zhixiong, Inspection of Improved Ghost Imaging for Hight-Light Led with Different Factory Quality. Available at SSRN: https://ssrn.com/abstract=4476014 or http://dx.doi.org/10.2139/ssrn.4476014

Kuosheng Jiang (Contact Author)

Anhui University of Science and Technology ( email )

Huainan
China

Mingjun Ju

Anhui University of Science and Technology ( email )

Huainan
China

Zhixiong Li

Ocean University of China ( email )

5 Yushan Road
Qingdao, 266003
China

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
14
Abstract Views
105
PlumX Metrics