搜索资源列表
SFS.rar
- Shape from shading: The source code for the review of shape from shading including minimization, local, propagation and linear methods,Shape from shading
EdgeDetection
- 边缘检测1.制作一张包括色块、线条的单色背景图片，先对其作低通滤波产生一幅色块和线条边缘模糊的降质图片待处理，采用任意二种边缘检测算法检测待处理图片中的色块和线条的边缘，得到二值化的处理结果图。从结果图中提取色块和线条的边界坐标值，与实际生成原始图像时采用的真实坐标数据作比较，对产生的检测误差作分析。2.拍摄一张包含待检测物体的黑白或者彩色照片，试采用一种边缘检测的算法做待检测物体的自动提取，对生成的结果作分析。-Edge Detection 1. To produce a including
SIFT
- Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe 这是一个很好的图象匹配算法（SIFT），同时能处理亮度、平移、旋转、尺度的变化，利用特征点来提取特征描述符，最后在特征描述符之间寻找匹配。 -Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe 这是一个
edgedetection2003
- 数字图像的边缘检测 本科毕业设计（边缘检测是数字图像处理中的重要内容。本文首先对图像的边缘检测的各种算法和算子做了总结和分析。Canny最早提出了边缘检测的三条连续准则:最优检测结果、最优定位和低重复响应,并在这些准则的基础上得到了“最优线性滤波器”―高斯函数的一阶导数。经过十几年的发展,目前已经有了对这个准则的很多改进,本文也对这个方面的工作做了小结。Demigny在理论分析和实践的基础上给出了边缘检测的离散准则,并且证明在离散准则中Canny提出的第三个准则可以被阀值操作所取代。本文利用
seg
- This a program for extracting objects from an image. Written for vehicle number plate segmentation and extraction 检测图像中的物体 本程序能分割出车牌并得到车牌号码-This is a program for extracting objects from an image. Written for vehicle number plate segmentation and ex
diantezhengtiqusuanfayanjiu
- 影像特征提取是影像匹配和三维信息提取的基础,是影像分析与单像处理技术领域中最重要的任务之一。有效的特 征提取算法是影像分析与处理的关键。从点特征定义出发,叙述了两种常用的点特征提取算子———Moravec算子和Forstner 算子的原理,利用Moravec算子和Forstner算子可以实现影像点特征的提取,并从提取点特征的准确度、提取速度对两种算子 进行比较,最后得出了有益的结论。-Image feature extraction and image matching are th
pivmat1.51
- The PIVMat Toolbox contains a set of command-line functions to import, post-process and analyse 2D vector fields from LaVision s DaVis PIV (particle image velocimetry) software. It enables to handle and perform operations over large amount of velocit
largestRectangleArea
- 求一个图像的最大内接矩形面积。 步骤： 1.相机标定。首先根据物像关系式求出其中的参数。注意参数求出后要进行参数校验。 2.从背景中分离出目标 3.边缘检测 4.目标形状参数计算。-For an image of the largest inscribed rectangle area. Steps: 1. Camera calibration. First of all object-image relationship in accordance with the par
SIFT
- 两份SIFT的重要资料：Distinctive Image Features from Scale-Invariant Keypoints（by David G. Lowe）,SIFT特征匹配技术讲义(by 赵辉)-SIFT two important information: Distinctive Image Features from Scale-Invariant Keypoints (by David G. Lowe), SIFT feature matching technical
rgb2hsi
- 将数字图像从RGB空间转换为HSI空间，程序简洁，可读性强。适合matlab图像处理的初学者。-Digital images will be converted from RGB space to HSI space, the procedure is simple and readable strong. Matlab image processing suitable for beginners.
visibresto
- 图像经典文章。Fast Visibility Restoration from a Single Color or Gray Level Image。用matlab实现的。-Image classic article. Fast Visibility Restoration from a Single Color or Gray Level Image. Achieved with matlab.
MATLAB_Image_Processing
- MATLAB进行图像处理的一些实用程序，有图像增强 ，图像复原的，还有神经网路的，还有一些实例，比如形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象 。内附说明，希望能够对正在进行数字图像处理学习的人有帮助-MATLAB image processing some of the practical procedures, image enhancement, image restoration, as well as neural networks, there are some in
Display-Image-from-Camera-in-PictureBox_03
- Display Image from Camera in PictureBox.-Display Image from Camera in PictureBox.
Save-images-from-video-output-by-1-sec.-using-Ope
- Save images from a camera out put by one second using Opencv2.1 in C++.
pick-up-the-feature-from-pictures
- 对图像进行识别是需要一些相关的参数，该程序的功能就是提取图像中的一些参数。-pick up the feature from the picture
remove-camera-shake-from-image
- Fergus, R 写的关于图像去抖动很好的一篇论文，作者有公开代码在他的主页上-one of Fergus, R s papers about removing camera shake from a single photograph,we can download it s source code from his homepage.
SHAPE-FROM-CODED-APERTURE-
- 本文中我们提出一个新颖的算法分析和 估计深度从单个图像捕捉到一个编码的孔径 相机。这是一个具有挑战性的问题,需要 新的工具和调查,而多视点重建。 -In this paper we present analysis and a novel algorithm to estimate depth from a single image captured by a coded aperture camera. This is a challenging problem whi
Converting-colors-from-RGB-to-HSI
- 用matlab将图片由rgb模式转换为HSI模式，内含源文件和实验报告。-Converting colors from RGB to HSI
Shape-and-Motion-from-Image-Streams
- 运动的仿射结构，原理英文pdf和matlab程序-Shape and Motion from Image Streams under Orthography： a Factorization Method
feature-points-extraction-from-faces
- 人脸特征提取 feature points extraction from faces-feature points extraction from faces