搜索资源列表
An.Image.Mosaic.Algorithm.Based.on.Matching.Shape.
- 提 出了一种基于形状模板 匹配的图像 自动拼接 方法。提取 图像 的角点作 为特 征点,利用归一化梯度模板对 其进行预 匹配.然后 利用形状模板在 四个方 向对模板 内图像的边缘 点与模板边界的最短距 离进行统计 ,获取模板 图像的 结构特征向量以实现对特征点的精确匹配。实验结果表明该算法具有较好的实用价值。 -A shape-based template matching method of image auto-splicing. Extract image feature po
corner
- vc++和OpenCV结合找出图片中的角点,并且做出标记。此程序同时可以用于图片特征点的提取,用于特征匹配的后续开发做准备。-vc++ and OpenCV combination to find the picture of the corner and make a tag. At the same time, this procedure can be used for image feature points extraction, feature matching for the fo
matching
- 基于opencv,用vc开发的实现角点匹配的原程序,-opencv vc source for corner matching
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
jiaodiaoMatch
- vc 写的一个角点匹配程序,带有实验用的图,很文便,好用,要用的就下吧。-vc wrote a corner matching program with experimental plans, it is the text of it, easy to use, use of on the next bar.
source codd of zheng you stereo matcher
- 张正友基于极线约束的点匹配方法源码,包含角点检测,零交叉匹配等重量级算法,初学者必备-Zhang Zheng-you-point based on the epipolar constraint matching method source code, including corner detection, zero-crossing matching heavyweight algorithm, essential for beginners
SURF
- SURF角点检测 This paper describes a new approach to low level image processing in particular, edge and corner detection and structure preserving noise reduction. Non-linear filtering is used to define which parts of the image are closely related to
corners
- 从网上找的C++编写的角点匹配程序,不敢独享,拿来分享-From the Internet to find the C++ written in corner matching process, not exclusive, brought to share
SUSAN_MATCH
- SUSAN角点匹配 自动化检测角点 灰度图象的匹配-SUSAN corner matching automatic corner detection image matching gray
CornerMatchingAlgorithmUsingMORAVECCornerDetection
- 角点匹配算法,使用MORAVEC角点检测算法,可以很好的实现两幅图象中角点的匹配-Corner matching algorithm, using MORAVEC corner detection algorithm, two images can achieve a good match in the corner
corner
- 自己改的角点检测程序基于 openCV做的 用的是Harris和susan角点检测方法 后续 还要做角点的匹配 大家有好的意见 站内联系啊!-Their own testing procedures to change the corner to do based on openCV and susan with the Harris corner detection method for the follow-up we need to do corners we have good view
harris1
- 自己按Harris定义写的Harris角点匹配算法,可用于图像拼接、图像融合等。运行通过,可放心下载。-Write their own definition of Harris by Harris corner matching algorithm can be used for image mosaic, image fusion. Run through, you can rest assured Download
Harris-corner-detection-program
- 在图像处理中,Harris角点检测程序用以实现特征点的提取,以实现特征点匹配。-In image processing, Harris corner detection procedures used to achieve the extraction of feature points, in order to achieve the matching feature points.
corner
- 这是角点检测的程序,图像中所有凹凸点都可以检测到,并在二值图像上显示出来,效果不错。直接运行corner.m即可-Corner detection program, the result is good
PiPei
- 基于VC++6.0开发环境,用OpenCv编程,实现基于投票策略的角点匹配算法!-VC++6.0 based development environment, with OpenCv programming, policy-based voting corner matching algorithm!
Application-of-Feature-Matching
- 基于外极线约束法则的外极斜率匹配思想, 针对图像中有限的角点特征, 提出了一种快速直线匹配 方法-Epipolar constraint based on rules of thinking outside the very slope of the match, for a limited corner of the image characteristics, we propose a fast straight line matching method
match_version_1.3
- 该程序主要功能是实现两幅图像特征点的匹配。首先用harris角点检测算法检测出图像角点,然后使用ssd算法筛选匹配的角点,最后将匹配的角点用线连接起来-The program is to achieve two main functions of image feature points of the match. First, with harris corner detection algorithm to detect image corners, then use the ssd cor
matching
- 使用harris进行角点检测,然后在使用NCC进行点匹配,用来判断三维视频的左右图的差别-Use the harris corner detection, and then use the NCC matching points used to determine the difference of the three-dimensional video about Figure
tuxiangpinjiejiaodianpipei
- 针对基于自适应光学技术的人眼眼底待拼接图像灰度、清晰度不一致以及细节的差异使检测出的角点无法匹配,进而导致图像不能拼接的问题,提出一种在OpenCV配置环境下角点检测的基础上,进行角点匹配的新方法-Adaptive optics for the human eye fundus to be gray stitching, inconsistent, and details of the differences in definition so that the detected corners
point-matching
- 本算法用于实现角点匹配,速度较快,匹配的准确度也较高。-The algorithm for realizing the corner matching, faster, and higher degree of matching accuracy.
