基于手势识别技术的排爆机器人运动控制算法设计-机械电子工程专业论文.docxVIP

基于手势识别技术的排爆机器人运动控制算法设计-机械电子工程专业论文.docx

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中北大学学位论文 中北大学学位论文 万方数据 万方数据 Explosive-handling robot motion control algorithm based on gesture recognition technology and system design Abstract The main research content of this paper is through the study of gesture recognition algorithm, the gesture gecognition technllogy applied to the movement of EOD robot control system, and the structure of EOD robot is designed.Gesture recognition technology is a kind of human-computer interaction in recent years,EOD robot controlled and the work by hand gestures is a relatively new technology.In the past, on the basis of the research of gesture recognition technology, combined with the system structure of EOD robot, the image segmentation algorithm of gesture gesture recognition system algorithm, gesture image feature extraction algorithm, continuousgesture recognition are studied, and design the system structure of EOD robot. In this paper the research on hand gesture recognition algorithm, put forward a kind ofgesture image color segmentation algorithm based on statistics, the algorithm based on the statistics in the YCb Cr color space color pixel gesture image, the color characteristic of color and brightness characteristics of gesture image red and blue points out, to getbetter results of segmentation the removal of the gesture image, under different light conditions lead to different results of the gesture image segmentation problem;Secondly, combined with the segmentation algorithm of color image based on the statistics of the gesture, the gesture image segmentation as the initial contour contour feature gesture image, and then combined with the image processing block, through iterative calculation, the gesture contour curve close to accurate gesture image contour feature;Then, through the study of continuous gesture recognition, gesture recognition algorithmis proposed for the threshold model, through the selection of the threshold parameter,finish the segmentation and recognition of continuous gesture imag

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