Posture Adjustment of Microphone Based on Image Recognition in Automatic Welding System

作     者：王金娥 高萍 黄海波 李相鹏 郑亮 徐文奎 陈立国 

作者机构：College of Mechanical and Electrical EngineeringSoochow University Robotics and Microsystems CenterCollege of Mechanical and Electrical Engineering & Collaborative Innovation Center of Suzhou Nano Science and TechnologySoochow University 

出 版 物：《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报（英文版）)

年 卷 期：2015年第32卷第2期

页      面：232-239页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0825[工学-航空宇航科学与技术] 0704[理学-天文学] 

基　　金：supported by the Project of Youth Fund of the National Natural Science Foundation (No. 61203208) the National Natural Science Foundation of China(No.61327802) the Specialized Research Fund for the Doctoral Program of Higher Education (No.2013320111 0009) 

主　　题：visual inspection Canny edge detection Hough transform feature extraction microphone 

摘      要：As the requirements of production process is getting higher and higher with the reduction of volume,microphone production automation become an urgent need to improve the production *** most important part is studied and a precise algorithm of calculating the deviation angle of four types microphones is proposed,based on the feature extraction and visual *** is performed to achieve the real-time microphone *** edge detection and typical feature extraction are used to distinguish the four types of microphones,categorizing them as type M1 and type *** Hough transformation is used to extract the image features of ***,the deviation angle between the posture of microphone and the ideal posture in 2Dplane can be *** on the angle,the system drives the motor to adjust posture of the *** final purpose is to realize the high efficiency welding of four different types of microphones.