基于PDES的二维条形码图像预处理方法

目前二维条形码在各领域得到了广泛地应用,但实际环境中受图像采集设备的限制,译码图像中通常混有较大的噪声,导致经常出现误码。为了进一步提高二维码译码的可靠性,必须对图像进行有效地预处理。本文根据条形码边界具有方向性的特点,将基于偏微分方程的Perona&Malik模型应用到二维条形码的图像预处理中,并对Perona&Malik模型的缺点进行了算法改进,通过合理地设计和选择参数,能很好地适应所有二维条码的图像特征,实际计算结果表明该方法对二维条形码图像的处理能得到令人满意的效果。

2-dimensional bar code Preprocessing Method Based on PDEs

The 2- D bar codes are used wildly in many fields, but due to the acquiring equipment which results in noisy images, some mistakes appear. The bar codes images must be preprocessed to improve the quality of translation. Perona- Malik model was in- troduced. The method was improved and applied to 2- D bar code images. By chosing appropriate parameters, its results were encour- aging.