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youdianmatlabVc
- 人民邮电版图像处理源码，车牌识别，数字识别系统源代码，路线识别（机器人视觉），形态学处理，数字识别，字母识别，边缘检测，图像分割-Posts And Telecommunications News source version of image processing, license plate recognition, digital identification system source code, line identification (robot vision), morpholog
ARMhuibianzhilingxiangjie
- 本指令是一个很好的，希望读者好好享用 正和了arm的全部指令-is a very good Abstract The research and development of a real——time visual obstacle detection system are pre—- sented in the paper．The stereo vision system is realized by using a single camera and the optical
objectDetection
- Object detection (or rather, recognition) is one of the fundamental problems in computer vision and a lot of techniques have come up to solve it. Invariably all of them employ machine learning, because the computer has to first learn that a partic
ijabr201605104_Aryan
- Edge detection is widely used in image processing, image recognition and computer vision. Tradition edge detection methods have a lot of disadvantages. This paper presents a new edge detection algorithm base on Matching Pursuit (MP). Our method h
Computer-vision-code
- opencv计算机视觉代码（c++）,自己先前学习opencv时候实现过的一些不错的代码程序，都能成功运行，效果不错，拿来和大家分享。打打基础也好，里面动作识别，动作追踪，轮廓检测都有.-Opencv his previous study when the time to achieve some good code, can successfully run, the effect is good, brought to share with you. Playing the foundati
Straight Edge Detection
- 用Labview vision平台测量几何图形的轮廓的直边，共大家学习，用的是labview2017(Labview vision platform to measure the geometric contours of the straight edge, a total of everyone learning, using labview2017)
Image acquisition
- 图像采集。测量是基于图像中物体所表现出来特征。图像处理算法通常利用图像中包含的信息进行分类，如边、面或形状。不同类型的机器视觉算法，影响并提取一种或多种信息。 边缘检测及其衍生技术，如耙子，同心耙，和辐条（rakes, concentric rakes, and spokes）用于图像中所表现出了边。他们可以精确地定位物体边缘的位置。可以使用边缘检测来进行部件宽度一类的测量， 这一技术被称为卡尺。也可以综合多条边来计算交点、投射、适合的园或椭圆。(Image acquisitionThe me
Desktop
- 测量是基于图像中物体的特征。图像处理算法通常使用图像中包含的信息进行分类，如边缘、表面或形状。不同类型的机器视觉算法影响和提取一个或多个信息。 边缘检测及其衍生技术，如同心的耙，耙，和辐条（耙、同心耙、和辐条）在球队中显示的图像。它们可以精确地定位物体边缘的位置。边缘检测可以用来测量一个分量的宽度，称为卡尺。还可以集成多个边来计算交点、投影、合适的果园或椭圆。(The measurement is based on the features of the object in the image