搜索资源列表
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- 图像技术的应用 : 包括:基于FPGA的图像处理系统; 基于图像特征的景象匹配辅助导航系统中的关键技术研究; 图像导航技术的发展和应用 -Application of imaging technology: including: FPGA-based image processing system images based on image feature matching assisted navigation system in the research of key te
adistortedimagerectificationalgorithmbasedonleasts
- 针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.-Image distortion for high-precision, a least-squares image matchin
IDA
- 对两幅图像特征点对匹配算法的一个实现,采用了09年pami一文章的观点,算法名称IDA(Incremental Dissimilarity Approximations)-Feature points of two images of an implementation of matching algorithm used pami a 2009 article, views, the algorithm name of IDA (Incremental Dissimilarity Approx
SURFmex
- A fast matlab code for image feature matching
wenli
- 基于灰度共生矩阵的图像检索技术。完整的特征提取、特征描述、特征匹配以及结果返回。-GLCM-based image retrieval techniques. A complete feature extraction, feature descr iption, feature matching and the result returned.
Medical-Image-Matching.ashx
- 用matlab编写的用于医学图像。很实用。大家可以参考参考。-Using matlab to prepare for the license plates feature extraction. Very practical. Members can refer to reference
SIFT
- SIFT特征提取演算法(包含匹配以及除错机制RANSAC)-可用于两张影像之特征点匹配 -SIFT feature extraction algorithm (including the match, as well as debug mechanisms RANSAC)- can be used for two images of the feature points matching
3d-matching
- 提出了一种用于物体外形非接触式提取的综合立体匹配方法。该方法综合了基于面积的立体匹配过程和基于特征的立体匹配过程。能充分利用它们各自的优点。 既能产生致密视差图。又能获得不连续处的准确匹配。 解决了物体外形非接触式提取中的关键性的问题实验结果以及实际应用都收到了很好的效果。-Proposed for object shape extraction of non-contact integrated stereo matching method. This method is an integra
NumberRecognition
- 此程序用于识别手写数字,主要是采用基于特征的方法,用一个5×5的栅格将数字分成25分,每份为一个特征,共有25个特征,然后进行特征匹配,识别出数字。-This procedure used to identify handwritten digits, mainly based on the characteristics of the method, using a 5 × 5 grid will be divided into 25 sub-figures, each as a featur
NCC-and-the-SSDA-based-feature-points-matching-the
- 基于NCC与SSDA的快速特征点匹配融合算法(图像匹配)-NCC and the SSDA-based feature points matching the rapid integration algorithm (matching)
Moving-camera-based-on-SIF-eature-matching-MHI
- 动摄像机下基于SIFT特征匹配和MHI的目标检测Moving camera based on SIFT feature matching and the next target detection MHI-Moving camera based on SIFT feature matching and the next target detection MHI
feature-matching-based-on-opencv
- 基于opencv来简单实现图像处理中的特征点提取和匹配-Opencv to simple implementation based on image processing feature extraction and matching
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
Matching
- 高质量的MATLAB源代码 用于实现虹膜图像的特征匹配(汉明距离)-Quality MATLAB source code for iris image feature matching (Hamming distance)
TestLMDll_lines-matching
- 中科院模式识别国家重点实验室团队提出的一个直线特征匹配算法,效果很好,值得学习-Chinese Academy of Sciences State Key Laboratory of Pattern Recognition team proposed a linear feature matching algorithm, the effect is very good, it is worth learning
image-feature
- 把 SIFT 算法应用在牙齿模型图像上,检测牙齿图像的特征点。 方法:首先采用高斯差分算子 DoG 搜索整个图 像的尺度和位置信息,从而确定具有代表性尺度、方向的特征点。基于其稳定性选择关键点,得到一个详细的模型以确定每个候 选点的合适位置和范围。基于局部图像梯度方向信息将方向矢量和关键点对应起来。在选定范围内的每个关键点周边区域测量 局部图像梯度,并采用 KNN 算法进行特征匹配。 结果:通过大量的实验和与其他特征提取方法相比较,该方法能有效地检测牙 齿模型图像的特征,并为牙齿
feature-detecting
- 主要介绍了特征提取,特征匹配相关的知识,适合初学者-Introduces the feature extraction, feature matching relevant knowledge for beginners
Fingerprint-matching
- 基于matlab指纹匹配源代码,特征识别,特征匹配 -Fingerprint matching based on matlab source code, feature recognition and feature matching
Realization-of-image-matching
- 图像匹配代码:像素匹配及特征匹配两种方式-Image matching code : pixel matching and feature matching two ways
Compass-feature-image-matching
- 这是一篇关于特征检测与匹配的文章,并且我附上自己的总结,文中不仅对目前为止所有的特征提取的发展历程及优缺点做了一个大致的总结,还提出一种新的特征匹配方法,值得学习图像处理的同学来进行相应的研究-This is an article about the feature detection and matching of the article and I attach a summary of his, in this paper not only of so far all the featur