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机构地区:[1]华南理工大学物理与光电学院,广东广州510640
出 处:《电视技术》2015年第8期31-34,43,共5页Video Engineering
摘 要:提出了一种基于DM642的中心线提取算法,针对TMS320DM642嵌入式平台的特性,采用3×3最亮邻接点加权平均法提取结构光带中心线,并对其进行优化。该方法与其他一些基于MATLAB的传统中心线提取算法相比,不仅提高了提取速度和精度,而且大大减少了类似模板法等需用的卷积运算量,实时性好,适合在大数据量背景下的嵌入式平台应用,通过图像处理板卡的PCI接口,可以方便地实现处理数据的及时上传。An algorithm based on DM642 by using the optimal 3×3 brightest adjacent spots weighted average to find the center position in linear structured light stripe is presented in this paper, according to the characteristic of TMS320DM642. Compared to some other traditional methods which are based on MATLAB, it has a higher speed and accuracy. In addition, the amount of convolution operation which other algorithms like the template method must use is greatly reduced in this method. Besides, this method has a good real-time performance, which makes it suitable for embedded platform under the background of big data. Through the PC1 interface of image processing card, data can be uploaded conveniently.
关 键 词:TMS320DM642 结构光图像 中心线提取 加权平均 PCI通信 优化
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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