摘要
结合生产制造过程中工件的自动定位、识别、计数、分类等问题,为满足硬件及实时性要求,针对DSP6000系列VC4016嵌入式智能相机(以下简称VC4016),提出一种基于视觉的工件特征向量匹配识别方法,对每个工件进行特征提取,并建立向量对应关系,采用特征数与特征向量匹配方法实现工件的识别。然后,应用VC4016,采用色彩转换,RLC图像处理技术和Socket通信技术,实现工件自动定位识别系统的软件开发。研究结果对于促进图像识别技术在生产领域中的应用,提高企业生产自动化水平具有重要意义。
In order to satisfy the requirements of hardware and real-time performance,the topic offers a vector matching method for part recognition based on vision using the embedded intelligent camera of DSP6000 （hereinafter referred to as VC4016） with the problem in automatic positioning,recognizing,counting and classing etc.in the process of manufacture.Extracting the feature of each part and building the corresponding relation of vector,the work piece can be recognized by making use of the matching method of characteristic number and eigenvector.After using color conversion,RLC image processing technology and Socket com- munication technique,to achieve software development about automatic recognition and positioning system of work piece.The re- searching result is significant for promoting the image recognizing technology used in the field of manufacture and improving the automatic production level of company.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第8期80-83,96,共5页
Computer Engineering and Applications
基金
陕西省机械制造装备重点实验室项目(No.05JS29)
