imagery processing meaning in Chinese
图象处理
Examples
- Among them , image quality is the foundation . in the process , we can use imagery - teaching way to excavate imagery factor fully . in other words , it is an imagery process
其中，形象性乃其基础，即在教学中运用形象化的教学方式，充分挖掘内容的形象性因素，以形象对受教育者施加影响。 - It has completed the design of hardware circuit system and the related software in this design , and has made the significance exploration in the real - time imagery processing algorithm which was used in led displaying system
在本设计中完成了系统的硬件电路设计和相关软件设计,并对led大屏幕显示系统中实时图像处理算法进行了有意义的探索。 - The main work is as follow : the pater makes use of vanguard genetic algorithms in image segmentation , uses vanguard genetic algorithms to get the image threshold . using this method we may get different grey vehicles from the background exactly . used the support vector machine theory to conduct the vehicles automatic sorting simulation research , the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition ; improved based on the background automatic renewal hypothesized examination region algorithm , enhanced timeliness and the accuracy which the vehicles examines ; and to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization ; in the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates
本文根据智能交通控制与仿真对于交通流量、车辆到达率、车辆速度等交通信息检测的需求,基于视频图像进行了交通信息处理的算法研究与实现,主要工作包括以下几个方面:将先锋遗传算法应用到图像阈值分割中,利用先锋遗传算法寻求全局最优阈值,可以比较准确的将图像中不同灰度的车辆从背景中分离出来;采用支持向量机理论进行了车辆自动分类的仿真研究,仿真结果证明该方法能够比较准确的将车辆的类型进行识别;改进了基于背景自动更新的虚拟检测区域算法,提高了车辆检测的实时性和准确性;并对基于虚拟检测区域的图像处理算法实现进行了详细说明;论文中还介绍了基于灰度连续性的运动车辆特征提取算法进行车辆的特征提取以及采用彩色过滤器同灰度图处理相结合的定位方法进行车辆牌照定位的实现方法。 - This article in the unidimensional interpolation foundation , according to the different data ( grid data and scattered in disorder data ) , divides the two - dimensional interpolation into the grid node interpolation and the scattered in disorder data interpolation , realizes the imagery processing and the data visualization with the matlab software
摘要本文在一维插值的基础上，根据不同的数据（网格数据和散乱数据） ，将二维插值划分为网格节点插值和散乱数据插值，用matlab软件实现图像处理和数据可视化。