搜索资源列表
Matching
- 实现了图象匹配的功能，是很不错的编程范例，希望大家会喜欢。-the images matching functions, is a very good example of the programming, I hope you will like.
用opencv类库两副图像的特征点匹配
- 两副图像的特征点匹配，其中用了opencv类库，功能包括：特征点的亚像素精度检测，特征点初始匹配，基本矩阵计算及对极约束引导匹配等。matcher.rar网上的都是有错误，而且缺少类库，我把错误改正了，把所有需要的类库都加上了，现在已经编译通过，保证能运行！希望大家喜欢,2 points, matching the characteristics of images, which used the opencv library, features include: Feature Point D
AAMLibrary-2.5.rar
- An active appearance model (AAM) is a computer vision algorithm for matching a statistical model of object shape and appearance to a new image. They are built during a training phase. A set of images together with coordinates of landmarks, that appea
movedetect.rar
- 用VC做的运动检测系统，采用模板匹配的思想比较不同的图像，查看事物是否运动。,VC to do with the motion detection system that uses template matching to compare different images of the idea to see whether the movement of things.
Pyramid-based-image-matching
- 金字塔分层搜索匹配，其中有GUI界面，方面用户直接输入待测图片和模板。-Hierarchical search match the pyramid, including GUI interface, the user directly measured in images and templates.
LBP.rar
- 针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 ,Due to the difficulty of getting disparity of less textured pi
stereo
- 立体匹配的源码，可以计算两幅图像的视差，并可以做简单的重建。-Stereo matching of source code, can be calculated two parallax images, and can be easy to do the reconstruction.
SSDSADNCC Matlab
- 立体匹配算法中比较经典的块匹配方法。其中包含了比较有名的ＳＡＤＳＳＤ算法－－－即左右视图中逐一比对像素数值，从而求得最小ｄｉｓｐａｒｉｔｙ 继而得到ｄｅｐｔｈ。-ＳＳＤＳＡＤ methods present in this file,which are improtant in the stereo matching-----we obtain the disparity with the difference of the intensity between the left and rig
MatlabFns
- 用于图像处理的matlab工具包，由Peter Kovesi制作，主要包含特征提取，各项异性滤波，灰度转换、图像去噪等，对图像处理的人来说非常有用。 -MATLAB and Octave Functions for Computer Vision and Image Processing， including: Feature Detection via Phase Congruency Spatial Feature Detection Integral Im
Match
- opencv实现图片的模式匹配，可以实现多通道的图像匹配，不仅仅是通过灰度来实现的匹配。-opencv realized picture of pattern matching, multi-channel images can be matched, not only achieved by matching gray.
IMGReg
- 图像配准是对取自不同时间,不同传感器或者 不同视解的同一场景的两幅图像或者多幅图像匹配的过程,它被子广泛应用在遥感图像/三维重构/机器人视觉等领域.下面是利用VC++来实现图像的配准源程序.-Image registration is a different time from different sensors or different solutions of the same scene as the two images or multiple image matching proces
PhaseBasedTemplateMatching
- Phase Based Template Matching: Phase information is used for matching the input imagery with the template. Both the images are filtered with canny edge detector. The timing efficiency is introduced by implementing skipping steps while doing correlati
newmatch
- 对两幅图像进行角点检测，并对检测到的角点进行特征匹配，效果非常好，误匹配率非常低，耗时仅9毫秒-Two images of the corner detection, and detects the angular point feature matching, the effect is very good, very low false match rate, time-consuming only 9 ms
Photo
- 数字图像处理编程入门 书和书的 源代码 1) windows位图bitmap(即bmp文件)的结构和调色版的概念； (2) 图象的平移、旋转、镜象变换、转置变换、放缩； (3) 图象的平滑(去噪声)、锐化； (4) 图象的半影调、抖动技术； (5) 图象的直方图修正、彩色变换； (6) 图象的腐蚀和膨胀效果、细化算法、骨架的提取； (7) 图象的边沿检测与抽取、hough变换、轮廓跟踪； (8) 图象的检测、模板匹配；
CCDdesign3
- 此文档设计主要一个涉及一个算法的研究。相关匹配是目标跟踪和模式识别的一种重要方法。介绍了**)（电荷耦合器件）误差测 量系统的光学原理F针对该测量系统实际情况，提出了用相关算法实现目标位置的测量F 使用自适应相关匹配的方法，实现了对连续视频图像中动态目标的跟踪F 给出了实验结果，并对算法提出了改进的意见。-This document is primarily designed a study involving an algorithm. Correlation matching targe
matching
- Matching SIFT algorithm. Matches features between two images and displays the result. Useful for finding features in video scenes.
Template-matching
- 对图像进行模板匹配，用户可自行选择图片和模板，程序有界面，可实现打开，保存等功能-Template matching pairs of images, the user can choose their own images and templates, procedures interface, can be realized to open, save and other functions
kitai1
- Opencv images matching by Correlation, ChiSqr, Intersect and Bhattacharyya methods -Opencv images matching by Correlation, ChiSqr, Intersect and Bhattacharyya methods
3D-depth-map-from-2D-images
- 二维图像三维立体视差算法依据的文章是： “Segment-Based Stereo Matching Using Belief Propogation and a Self-Adapting Dissimilarity Measure” by Klaus, Sormann, and Karner 主要步骤： Getting Pixel Disparity Filtering the Pixel Disparity 包含的文件： demo.m, .#newrea
A Template Matching Method
- 一种基于环投影矢量变换的多尺度旋转图像模板匹配方法(A Template Matching Method for Multi-Scale and Rotated Images Using Ring Projection Vector Conversion)