金属零件上二维条码高光区域的恢复

基于配套光源的优化,提出了基于随机共振算法的图像溢出信息恢复方法.该方法利用噪声激发饱和系统的随机共振,扩大输出图像的动态范围,挽回高光溢出的信息.分析了不同类型和不同强度的噪声对恢复信息可分辨性的影响.仿真结果表明,不同类型的噪声都有对应的特定强度,使系统输出信息的可分辨性达到极值.最后,通过局部过曝的实例,验证了基于随机共振的图像信息恢复方法能达到抑制高光和提高图像对比度的目的.

2D Bar Code Recovery in Highlight Area of Metal Parts

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.