计算机科学 ›› 2021, Vol. 48 ›› Issue (11A): 396-399.doi: 10.11896/jsjkx.210100123
宋一言, 唐东林, 吴续龙, 周立, 秦北轩
SONG Yi-yan, TANG Dong-lin, WU Xu-long, ZHOU Li, QIN Bei-xuan
摘要： 针对传统投影分割方法在提取单个数码管数字图像时过于依赖图像二值化及图像倾斜校正效果的问题,采用一种基于轮廓提取和轮廓排序相结合的数码管图像分割方法,实验证明该方法相比投影分割法在对数字区域的分割成功率上提高了13.5%;针对传统穿线法对数码管数字1识别度较低和机器学习算法运行用时较长的问题,提出一种基于六段数码管特征的改进穿线法与HOG+SVM方法相结合的数码管数字识别方法,该方法对数码管数字的识别准确率比传统穿线法提高了约4.5%,且平均运行时间仅为HOG+SVM方法的1/5。实验结果证明了这种方法在进行数码管读数时的可靠性和优越性。
中图分类号:
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