2D bar code recovery in highlight area of metal parts

Jia Jing Wang, Shu Sheng Zhang, Wei Ping He

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

For optimization of the matching light source, this paper proposed a novel information recovery method based on the theory of stochastic resonance. This technique takes the advantage of noise to enlarge the dynamic range of image sensor when specifically added noise synchronizes with the image sensor system to activate the phenomenon of stochastic resonance. It investigated different types and strengths of noises to show the effect of variant distributions on the quality of retrieved information. The simulation results show that different types of noises have a corresponding strength, which makes the separability of output information reach extreme values. The results of locally overexposed experiment are consistent with the theoretic analysis, which also indicate that the recovery method of 2D bar code based on stochastic resonance could suppress the high light and improve image contrast.

源语言英语
页(从-至)1836-1841
页数6
期刊Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
47
12
出版状态已出版 - 2013

指纹

探究 '2D bar code recovery in highlight area of metal parts' 的科研主题。它们共同构成独一无二的指纹。

引用此