| 基于TMS320C80的视频图像处理系统的研制 |
| |
| 引用本文： | 戴擎宇 杨占昕. 基于TMS320C80的视频图像处理系统的研制[J]. 北京理工大学学报, 1998, 18(5): 616-620 |
| |
| 作者姓名： | 戴擎宇 杨占昕 |
| |
| 作者单位： | 北京理工大学电子工程系 |
| |
| 摘 要： | 目的 研究基于多处理器的并行运算在图像处理中的应用，方法 建立ＴＭＳ３２０Ｃ８０硬件平台，采用Ｃ语言与两种汇编语言混合编程的方法实现图像蝗并行处理，结果 该图像处理系统能够完成图像的实时处理，进行边缘提取的速度可达到３０帧／ｓ，采用互相关模板匹配方法进行跟踪的速度可达到１４帧／ｓ，结论 基于多ＣＰＵ的并行运算可以对图像进行实时处理，减少硬件系统的复杂性，并行运算的效率主要由多个任务在多个处理器上的
|
| 关 键 词： | 图像处理 边缘检测 TMS320C80 视频图像处理 |
Video Image Processing System with TMS320C80 |
| |
| Dai Qingyu,Yang Zhanxin,Mei Shibing,He Peikun,Han Yueqiu. Video Image Processing System with TMS320C80[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 1998, 18(5): 616-620 |
| |
| Authors: | Dai Qingyu Yang Zhanxin Mei Shibing He Peikun Han Yueqiu |
| |
| Abstract: | Aim To develop parallel processing in image processing based on multiprocessor. Methods The hardware platform of TMS320C80 was made, and Clanguage and two assembling languages were used to perform parallel processing. Results This image processing system can work in real time. It can reach the speed of 37 frames per second when extracting the edge, and 14 frames per second when using the method of correlation module matching to perform tracking. Conclusion parallel processing based on multiprocessor can process image in realtime,and reduce the complexity of the hardware system at the same time.The efficiency of parallel processing is mainly determined by the assignment of multi-task in multiprocessor and the parallel program structure in single processor. |
| |
| Keywords: | image processing edge extraction parallel processing |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《北京理工大学学报》浏览原始摘要信息 |
|
点击此处可从《北京理工大学学报》下载全文 |
