在分析了国内外自主吸尘机器人研究现状的基础上，设计了一种应用于自主吸尘机器人的视觉图像采集与处理系统。
Based upon the analysis of current research status about autonomous cleaning robots at home and abroad, an image capturing and processing system for vision of autonomous cleaning robots is designed.
以嵌入式微处理器s3c 44b0x为中心，配置图像采集等外围器件，构建了机器视觉系统的硬件平台。
We selected the S3C44B0X embedded microprocessor and configured image acquisition peripheral device to set up the hardware platform of machine vision system.
针对此问题，本文设计了一个以USB数码摄像头为图像采集设备、ARM为核心处理器的嵌入式机器视觉系统。
To solve the problem, a new embedded machine vision system is proposed, which takes the USB camera as the image acquisition unit and ARM as central processor.
提出了一种基于机器视觉与离散傅里叶变换的目标特征识别方法。利用计算机图像技术采集和处理图像信号；
A identifying image methods based on machine vision and DFT are studied, The images are collected and video signal is processed using computer technology.
在交通参数信息采集过程中，需要在实际道路坐标系和图像坐标系之间建立一个视觉模型。
In the course of measuring the traffic parameters, a vision model between the road coordinate and image coordinate is needed.
以嵌入式微处理器S3C44B0X 为中心，配置图像采集和电机驱动等外围器件，构建了机器人视觉系统的硬件平台；
We selected the S3C44B0X embedded microprocessor and configured image acquisition and motor driver peripheral devices to set up the hardware platform of robot vision system.
本文作为基于视觉的汽车车道偏离系统的前端图像采集和处理部分，在解决汽车安全性问题上具有十分重要的意义。
Image acquisition and processing parts that based on visual system of the car lane departure system is very important on resolve the safety problem of vehicle.
本文作为基于视觉的汽车自动防撞系统的前端图像采集与预处理部分，在解决汽车安全性问题上具有十分重要的意义。
This thesis as part of the vision-based automatic collision avoidance system, including the image acquisition and pre-processing, is very important in resolving the issue of automobile safety.
通过实验采集的图像，可见TIG熔敷堆焊视觉传感系统的优化基本能够达到TIG熔敷堆焊的信息传感目的。
The image of experiment shows that the optimized vision sensor system can achieve the aim of getting the TIG deposit surfacing welding information.
采用视觉测量方法对工件的各种断面尺寸参数进行测量时，需要在采集到的图像中找到被测量对象。
It is necessary to get the measure elements in the grabbed image when measuring various dimension parameters of the workpiece's cross-section by machine-vision method.
文中采用的多个特征都是基于视觉的，在图像采集上简单方便，只要一个普通的光学摄像头即可。
All of features are based on ocular measures that makes the image gather simple, all the things needed is a CCD camera.
对于由全景视觉系统采集到的全景图像，本文采用对光线不敏感的HSI颜色模型进行颜色标定，利用游程编码进行图像分割，并在此基础上进行球、球门、角柱和白线的特征提取。
The HSI color model is not sensitive to light, so we can use it for color calibration, image segmentation by run-length code, and objection recognition to the ball, goal, and the white lines.
系统运用CMOS数字图像传感器取代模拟CCD摄像机，采用带有usb总线的PIC18 F 4550单片机来控制和传输数据，实现了视觉检测前端数据采集与传输的数字化、智能化。
CMOS digital image sensor and PIC18F4550 micro-controller with USB bus are applied to this sys - tem instead of the analog CCD camera to realize the digital acquisition and intelligent transmission.
本文基于机器微视觉的MEMS动态测试系统，设计了一套频闪驱动电路，用于采集高速运动的MEMS器件的清晰图像。
Based on MEMS dynamic testing system this paper designs a set of stroboscopic driving circuits to acquire clear image of high speed MEMS device.
本文从机器视觉系统的组成结构出发，介绍了图像采集、图像传输、低层视觉、中层视觉到高层视觉处理的机制。
A typical machine vision system include: image collection system, transfer system, early vision system, mid-level vision system and high-level vision system.
本文研究了一套基于激光结构光视觉传感的焊缝图像实时采集和图像处理系统。
In this paper, a weld seam image real-time acquisition and processing system based on adjustable laser vision sensor is developed.
本文研究了一套基于激光结构光视觉传感的焊缝图像实时采集和图像处理系统。
In this paper, a weld seam image real-time acquisition and processing system based on adjustable laser vision sensor is developed.
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