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machine_vision.rar
- 实现机器视觉的一个程序,实现了基本的图像处理工作,具有边缘检测,图像平滑等功能,并且实现了路边识别,运动目标分析等功能。实现时使用了opengl。
chepaizhibie
- 识别车牌的源码,可以先对图像进行各种操作,如锐化,平滑,提取骨架,细化,分割,定位,提取边缘,等等。是一个比较详细,内容丰富的源码包。-A source code to recongize the car number. It first do the several operation to images, such as Sharpness, Smooth, Low Pass, Crop, and Locate , Edge Dectet, etc. It is a detailed , v
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- 图像的腐蚀图像的膨胀图像的结构开和结构闭图像的细化图像的边缘检测图像的Hough变换图像的轮廓提取图像的识别和模板匹配- The picture corrosion picture inflation picture structure opens with the structure shuts the picture the thin picture edge examination picture Hough transformation picture outline to with
LPR
- 车牌识别程序,使用sobel算子检测边缘,然后准确定位车牌,准确率高达98%以上。-license plate identification procedures, the use of pixel edge detection operator, and then accurate positioning plates, accuracy rate was as high as 98% or more.
fayeboy1984
- 此设计要求能够实现将医学图像进行识别的过程,包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像,灰度图像的二值化,直方图修正,去除干扰、噪声以及差异,边缘增强等;第二模块是图像的特征提取。由于对象的物理与几何特性差异,在影像中表现为局部区域的灰度产生明显变化,形成影像特征,而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征,得到能反映图像内容区别于其他事物的本质特征;分类判决作为第三模块,则是要在第二步的基础上采用某种分
tu_xiang_jianche
- 数字图像的边缘检测是图像分割、目标区域的识别、区域形状提取等图像分析领域十分重要的基础,图像理解和分析的第一步往往就是边缘检测,目前它以成为机器视觉研究领域最活跃的课题之一,在工程应用中占有十分重要的地位。本文向读者简单介绍一下这个技术,并给出了在Visual C++环境下实现的代码。-Digital Image Edge detection is image segmentation, target recognition in the region, regional shape extra
edgeexamination
- 该源码主要是对图像进行边缘检测和轮廓跟踪,主要应用在象人脸识别、指纹识别等这样的图像处理系统中-the main source of the image edge detection and contour tracking, as the main application in face recognition, fingerprint recognition of Image Processing System
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- 数字图像的边缘检测是图像分割、目标区域的识别、区域形状提取等图像分析领域十分重要的基础-Digital Image Edge detection is image segmentation, identification of the target region, regional shape extraction image analysis based on the importance of field
tupianhanfeng
- 该程序可以采集图象 ,并且对采集的图象进行边缘提取和识别-the procedure can be collected images, and collecting the right image edge extraction and identification
OpenCVL
- 这个一个opencv代码。通过对库函数调用,实现图片的边缘检测以及轮廓识别。对于入门opencv很有参考价值。-this one OpenCV code. Through library function call, on the brink of achieving Photo contour detection and identification. For entry OpenCV of great reference value.
RFBarCodebylqh
- 条码比对识别,主要基于图像处理和边缘线条检测的方法,包括C++源代码和例子程序。-than right barcode recognition, mainly based on image processing and edge lines, the method of testing includes C source code and examples of procedures.
laplacian-edgeDetection2006-10-24
- Visual C++MATLAB图像处理与识别实用案例精选之 图像的边缘检测,拉普拉斯变换 算法的源程序,含标准测试图片-Visual C MATLAB image processing and recognition practical case Featured's image edge detection, Laplace Transform algorithm source, including standard tests Photo
CarPlateRec
- 车牌定位与识别系统,首先将彩色图像转化为256灰度图像,然后用边缘检测和形态学等实现定位,再用神经网络方法实现字符识别.-plates positioning and identification system will first color image into a 256 grayscale image, Then Edge Detection and morphology, and so on to achieve positioning, and then neural network
ReadingPeopleTracker-1.28
- 视频对象的跟踪提取原代码,能够有效地识别运动的人和物体,边缘准确,不受场景的影响-Video Object Extraction of the tracking code to identify effective movement of people and objects, accurate edge, Scenes from the impact
CardRecognization
- 车牌识别系统 使用说明 使用时打开此例题目录下pic中的图片,然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”,就可以实现精确的车牌定位。 具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。 初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。
pcl
- 图像处理soble算子及边缘检测,图像识别-soble image processing operator and edge detection, image recognition
backgroud(12.22)
- 本人开发的火焰识别程序,包括otsu自适应阈值,canny边缘检测,形态学膨胀、腐蚀操作,尖角判别,圆形度计算。在vc下编译通过。-development of the flame identification procedures, including otsu adaptive threshold, canny edge detection, Morphological expansion, corrosion operation, pointed discriminant, circula
car1234
- 车牌识别系统JAVA源代码,包括灰度处理、均衡化、边缘提取、二值化等功能-number plate recognition system in Java source code, including Gray, balance, edge detection, the value of the two functions
附件05-Demo演示代码
- 双目相机与计算机连接后进行拍照,图片抓取,视频拍摄,人脸检测,Canny边缘检测,BM算法与SGBM算法进行立体匹配测距的实现。(The binocular camera is connected with the computer to take pictures, capture pictures, take videos, detect faces, Canny edge detection, BM algorithm and sgbm algorithm for stereo match
Unet卷积神经网络
- Python编的Unet卷积神经网络,可以用于噪声压制、边缘识别等应用,运行效率较高。