【摘要】 针对客运列车车号特征,提出一种基于小波分解的车号定位及阈值分割方法。首先对灰度图像进行中值滤波和拉普拉斯锐化处理,然后采用小波分解和改进的Canny边缘检测算法,并结合形态学处理和车号先验知识对车号精确定位,最后,结合Niblack算法,提出一种连通域个数指导阈值分割的方法。实验结果表明,该算法能适应不同光照条件下多型车厢的车号定位,二值化效果好,具有较好的鲁棒性。更多还原

【Abstract】 Aiming at the features of passenger train number,a new method,which is based on wavelet decomposition,is proposed for the localization and threshold segmentation of train number. The gray-level image is firstly smoothed by using median fil-ter,and followed by Laplace sharpening processing. Then the wavelet decomposition and improved Canny edge detection algo-rithm are used,and the morphological processing prior knowledge of the rehicle number are used to locate the region accurately. Fi-nally,a method of threshold segmentation combined Niblack with the number of connected domain is proposed. As experimental re-sults show,this method is more insensitive to different types of train number and illumination variance,and performs better in binarization and robustness.更多还原