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Uneven Illumination Two-Dimensional Code Image Recognition Algorithm Research

机译:照明不均匀二维码图像识别算法研究

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Aiming at the problem that complex and changeable field light environment will affect the feature recognition of two-dimensional code image, the Niblack algorithm based on block is improved according to the characteristics of two-dimensional code image. A fusion two valued algorithm is proposed, which is based on the improved block Niblack and Otsu. First of all, the threshold of each block is respectively calculated by the Niblack and the Otsu algorithm on account of the improved block analysis. Then, the final threshold is obtained by weighted sum of two thresholds, and the image is segmented. Experiments show that this method can not only overcome the effects of uneven illumination, but also have the characteristics of strong anti-noise ability and fast processing speed.
机译:针对复杂多变的场光环境会影响二维码图像特征识别的问题,针对二维码图像的特点,对基于块的Niblack算法进行了改进。提出了一种基于改进的块Niblack和Otsu的融合二值算法。首先,考虑到改进的块分析,分别通过Niblack和Otsu算法来计算每个块的阈值。然后,通过两个阈值的加权和获得最终阈值,并对图像进行分割。实验表明,该方法不仅克服了光照不均匀的影响,而且具有抗噪能力强,处理速度快的特点。

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