CAJ | 학술논문

对于所采集的条码图像,为了适应实时性的要求,以得到不同光照条件下的最佳阈值,该文提出了把直方图双峰法、OTSU法及NLNiblack阈值法结合起来的改进的自适应阈值法.实验证明了该方法具有高效性和稳定性.为了在条码分割图像中获取QR码的4个顶点,首先,根据3个位置探测图形的特性提出了一种新的方法以求取对应的3个顶点,同时利用QR码的特征提出挖空算法获取条码的边缘,再采用过已知点的Hough变换得到第4个顶点.实验证明该算法在各种采集条件下可有效地得到QR码的4个顶点.
대우소채집적조마도상,위료괄응실시성적요구,이득도불동광조조건하적최가역치,해문제출료파직방도쌍봉법、OTSU법급NLNiblack역치법결합기래적개진적자괄응역치법.실험증명료해방법구유고효성화은정성.위료재조마분할도상중획취QR마적4개정점,수선,근거3개위치탐측도형적특성제출료일충신적방법이구취대응적3개정점,동시이용QR마적특정제출알공산법획취조마적변연,재채용과이지점적Hough변환득도제4개정점.실험증명해산법재각충채집조건하가유효지득도QR마적4개정점.
For collected barcodes images, an image analysis method with the ability of locating, segmenting, correcting and recognizing the QR code is introduced. In order to meet real-time demands and obtain the optimal thresholds under various lighting conditions, we propose an improved adaptive thresholding, which is proved with high efficiency and high stability. In order to get the four corner points of QR code in the segmentation of barcode, a new algorithm is presented to obtain three points among those corner points according to their patterns features. The fourth corner point is then obtained by employing known point. Hough transformation. Experiment shows that the algorithm can get the four corner points of QR code effectively under various acquisition situations.