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轮型代码自动识别系统图像处理算法改进研究
引用本文:杨光,冯涛,秦永左.轮型代码自动识别系统图像处理算法改进研究[J].核电子学与探测技术,2012,32(6):732-735.
作者姓名:杨光  冯涛  秦永左
作者单位:1. 长春理工大学电子信息工程学院,长春130022;长春理工大学纳米测量与技术制造中心,长春130022;吉林省纳米操纵、装配与制造国际科技合作基地,长春130022
2. 长春理工大学电子信息工程学院,长春,130022
摘    要:详细介绍了轮型代码自动识别系统的工作原理和图像处理算法,系统通过图像获取、图像预处理、阈值分割、边缘检测和模板匹配来识别不同型号的轮毂。通过改进轮毂图像边缘特征提取算法来提高轮型代码的识别速度,增强系统识别的正确率。

关 键 词:轮毂  模板匹配  特征提取

Study on the Improved Image Processing Algorithms of Wheel Code Automatic Identification System
YANG Guang , FENG Tao , QIN Yong-zuo.Study on the Improved Image Processing Algorithms of Wheel Code Automatic Identification System[J].Nuclear Electronics & Detection Technology,2012,32(6):732-735.
Authors:YANG Guang  FENG Tao  QIN Yong-zuo
Affiliation:1(1.School of Electronic Information Engineering Changchun University of Science and Technology Changchun 130022,2.Centre for Nano Metrology and Manufacturing Technologies Changchun University of Science and Technology Changchun 130022,3.Jilin Provincial International Science & Technology Cooperation Base for Nano Handling,Assembly & Manufacturing Changchun 130022)
Abstract:The principle of wheel code automatic identification system and image processing algorithms are introduced in detail,the system identify the wheels of different types by the image acquisition,image preprocessing,thresholding,edge detection and template matching.It improve the recognition speed of wheel code by improving the wheel edge feature extraction algorithms,and enhance the system to identify the correct rate.
Keywords:wheel  template matching  extraction of selected feature
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