Therefore , this paper make use of the gpu to realize the target - track algorithm . this work make the gpu image processing to be economic and efficient 。 in this paper , i introduce some technical feature of gpu , then analyze and summarize some basic way to realize the digital image process algorithm 本文介绍了gpu的一些技术特点,分析和总结了用其实现数字图像检测处理算法的一些基本软件途径,并在基于gpu的处理模式和实现实时目标检测与跟踪算法上作了探索性研究,并且取得了一定的成果。
This thesis firstly describes the history of the development of technology of video image processing and its applications , and then surveys the technology widely used in intelligent transportation system , especially focuses on the video detection technology , which is used for traffic information collection . contrasted with some other ways on traffic information collection , this method has obvious advantages 本文首先简要地叙述了视频图像检测技术的发展历史及其广泛的应用领域，然后具体的介绍了它在智能交通系统当中的应用情况，并着重分析了视频检测技术在交通流量信息采集方面的应用，比较分析了它相对于其它交通信息采集方法所具有的优势。
Adding on brain atlas , ct - mri image fusion , important functional active areas detected by functional magnetic resonance imaging and white matter fibers tracked from diffusion tensor imaging into an image guided neurosurgery system can help doctors a lot for locating , recognizing and protecting brain area during neurosurgery operations 通过在图像引导神经外科系统中融合功能脑图谱、 ct - mri图像融合、功能磁共振图像检测到的重要脑功能区与扩散张量成像追踪到的白质纤维束信息，可以在神经外科手术中帮助医生精确定位、识别或保护重要脑区。
