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Kalman_Filter2
- 用kalman滤波算法仿真实现2自由度机器人对目标的跟踪（demo2忽略了Jt，demo3包含可Jsita和Jt，估计总雅可比矩阵J的kalman滤波）---机器人视觉伺服-Simulation kalman filter algorithm with 2 degrees of freedom robot target tracking (demo2 ignored Jt, demo3 contains Jsita and Jt, the total estimated Jacobian mat
Machine-vision-Site-URL(New)
- 机器视觉网址大全，最新整理的。希望给大家带来有益帮助-Machine vision at Guinness, the latest finishing. Hope that helps give us useful
jiqishijue
- 基于机器视觉做的界面，主要做图像处理，包括图像读取，滤波等-Interface based on machine vision to do, mainly to do image processing, including image reading, filtering, etc.
image_implementation_-Matlab
- 基于Matlab实现的数字图像处理教程，具有极强的参考价值。是从数字图像处理到机器视觉的进阶之路。-A textbook of Digital Image Processing,implemented by employing Matlab, a top language of Image Processing
IMAQ-jiqishijue
- 机器视觉系统是指通过机器视觉产品（即图像摄取装置，分CMOS和CCD两种）把图像抓取到，然后将该图像传送至处理单元，通过数字化处理，根据像素分布和亮度、颜色等信息，来进行尺寸、形状、颜色等的判别。进而根据判别的结果来控制现场的设备动作。-Machine vision system is a machine vision products (ie image acquisition device, the two sub-CMOS and CCD) to capture the image, an
PENTAX-MV-SELCT20110506
- 机器视觉硬件设计－镜头（PATRAX）选型：采用Excel表格形式，进行光路设计，可以快速方便地选择相应的镜头。-Machine vision hardware design- lenses (PATRAX) Selection: Using Excel in tabular form, the optical design, you can quickly and easily select the appropriate lens.
Machine-vision-calibration
- 机器视觉的标定方法：本文对机器视觉三维空间测量的内外方位元素的标定方法进行了论述。-Machine vision calibration method: In this paper, three-dimensional measuring machine vision orientation elements inside and outside the calibration method are discussed.
Robotics
- 机器人学的研究推动了许多人工智能思想的发展，有一些技术可在人工智能研究中用来建立世界状态的模型和描述世界状态变化的过程。关于机器人动作规划生成和规划监督执行等问题的研究，推动了规划方法的发展。此外由于机器人是一个综合性的课题，除机械手和步行机构外，还要研究机器视觉触觉听觉等信感技术，以及机器人语言和智能控制软件等。可以看出这是一个设计精密机械信息传感技术人工智能方法智能控制以及生物工程等学科的综合技术。-Robotics research to promote the development o
doing-and-learning-for-NI-vision
- 边干边学机器视觉，教你如何使用摄象头获取图象-Learning by doing machine vision, teach you how to use the Camera to obtain images
Defect-Detection-in-Citrus-
- 在本文中，柑橘的质量控制系统是目前柑橘制造业，卡钳和颜色成功地用于自动分类，使用机器视觉的水果系统-In this paper,a system for quality control in citrus is presented.In current citrus manufacturing industries,calliper and color are successfully used for the automatic classifi cation of fruits
DIPDemo
- 基于VC++的数字图像处理和机器视觉，几乎包含了所有常用的图像处理功能-VC++ based digital image processing and machine vision, contain virtually all commonly used image processing functions
6312
- 这是一套有关图像处理与机器视觉的面试题,从事图像处理与机器视觉的人可以-This is a set of image processing and machine vision face questions, engaged in image processing and machine vision who can see
nivision.h
- NIVISION头文件，做机器视觉的朋友可以参考下，添加到所需的工程文件中-NIVISION header files, do machine vision can refer friends, add to the desired project file
CIRCLE
- 做机器视觉的一个实例，来自于NIvision的sample-Machine vision to do an instance, the sample from NIvision
barc
- barcode 机器视觉的应用实例，用于条形码的检测-barcode machine vision application examples for the detection of bar code
battery--inspection
- NIVISION机器视觉应用，用于自动检测的实例-NIVISION machine vision applications, for instance automatic detection
Citrus-Fruits-pH-Value-detect
- 对机器视觉系统采集 的柑橘图像进行图像裁切、RGB 空间至HSI 空间的转换和差值法去图像背景，用色调H 和饱和度S 为输入，建立小波神经网络柑橘pH 预测模型，无损检测柑橘pH。-Images of citrus fruits from machine vision system were processed by cutting, converting from RGB space to HSI space, removing background by deviation. A w
DIPDemo
- 数字图像处理与机器视觉初步，可以对图像进行点运算，几何变换，图像增强，频域滤波，图像分割等处理。-Digital image processing and machine vision initially, you can image point operations, geometric transformations, image enhancement, frequency domain filtering, image segmentation process.
digital-image-process
- 数字图像机器视觉代码，包含众多VC++ MATLAB两种源码-image process Vision
Line-Light-Guides
- LED光源特点与选用说明，机器视觉使用光源特点及其应用场合介绍-LED light source characteristics and application, machine vision that use light source characteristics and applications introduce