CAJ | 학술논문

对于直方图有明显谷底和采集光照不均匀的二维条码图像，提出一种利用小波多分辨率分析进行自适应阈值的图像二值化方法。该方法首先通过小波分解获得低频子图，其次在低频子图上采用2×3模板产生局部区域的动态阈值，最后根据局部阈值得到全局阈值，进而实现PDF417条码图像的二值化处理。实验结果表明，该方法有效地减小了光照不匀对条码识别的影响，适合于背景较复杂的实时二维条码二值化处理。
대우직방도유명현곡저화채집광조불균균적이유조마도상，제출일충이용소파다분변솔분석진행자괄응역치적도상이치화방법。해방법수선통과소파분해획득저빈자도，기차재저빈자도상채용2×3모판산생국부구역적동태역치，최후근거국부역치득도전국역치，진이실현PDF417조마도상적이치화처리。실험결과표명，해방법유효지감소료광조불균대조마식별적영향，괄합우배경교복잡적실시이유조마이치화처리。
For 2D barcode image with uneven collected illumination and obvious trough in its histogram,we present an image binarisation method,which uses wavelet multi-resolution analysis to carry out adaptive threshold.First,it obtains low frequency sub-image through wavelet decomposition,then it generates the dynamic threshold in local region by using a template of 2 ×3 pixels on low frequency sub-image.Finally it obtains global threshold according to the local threshold and thus achieves binarisation processing on PDF417 barcode image.Experimental results show that this method effectively reduces the impact of the uneven illumination on barcode identification,and is suitable for binarisation processing on 2D barcode images with complex background.