搜索资源列表
HuMoments
- 用VC++写的Humoments的处理程序．可以得到图象旋转不变量，进行图象识别-VC Humoments written by the process. Image rotation can be invariant, image recognition
Sift.zip
- 用SIFT (Scale Invariant Feature Transform) 算法进行图像特征提取，基于OpenCv的C++代码实现。,Using SIFT (Scale Invariant Feature Transform) algorithm for image feature extraction, based on the OpenCv the C++ Code.
SIFT.rar
- 在Matlab中实现基于旋转尺度不变特征提取特征点的方法。,Matlab implementation of the rotation based on scale-invariant feature extraction method of feature points.
LBP-SIFT-image-matching-algorithm-combined
- SIFT和旋转不变LBP 相结合的图像匹配算法(数字图像处理/图像匹配）-SIFT and LBP combined rotation invariant image matching algorithm (digital image processing/image matching)
PIIFD
- The matlab source code for the paper "A Partial Intensity Invariant Feature Descr iptor for Multimodal Retinal Image Registration". This paper has been accepted by IEEE Transaction on Biomedical Engineering.-The matlab source code for the paper "A Pa
affien-invariant-moment
- 对发生仿射变换的图像，通过计算仿射不变矩来获得图像的不变特征。-Affine transformation of the image occurs, by calculating the affine invariant moment to get the image of the same features.
Invar_Moment
- 该代码为利用几何不变矩提取图像几何特征的代码，用matlab编写，提取7个Hu矩为特征向量。可以用于基于内容的图像检索-The code for the image using the geometric moment invariant geometric features extracted code, written with matlab to extract seven Hu moments as features. Can be used for content-based imag
invariant-moments
- 自己编写的Hu不变矩c++计算程序，可对图像进行二值化后，搜索二值化图像中的高亮目标并进行数字标注，同时查看搜索到的每个目标的七阶不变矩-The Hu invariant moments to write your own calculation program, the image can be binary, the search in the binary image digital mark targets and highlight the same time, view the se
mser
- 基于Matlab实现了图像MSER仿射不变特征的提取-Matlab implementation of image-based affine invariant feature extraction MSER
InvariantLocalFeatureforImageMatching
- Invariant Local Feature for Image Matching,主要是介绍了一下图像副本检测的系统，先对图像提取sift特征，再用LSH匹配-Invariant Local Feature for Image Matching, mainly introduced a copy of what the image detection system, first sift the characteristics of the image extraction, and the
image-retrieval-source-program
- 该源代码包含图像10个不变矩的图像检索，小波模极大值法边缘检测，结合颜色特征与不变矩的图像检索源程序-The source code includes images of invariant moments 10 image retrieval, wavelet modulus maximum edge detection method, combining color characteristics and the moment invariants image retrieval sourc
SIFTAlgorithmcodes
- D.G lowe 的尺度不变特征转换算法（SIFT） 在基于opencv和OpenGL的源码基础上增加了图像的保存功能。用于对图像的尺度不变特征的提取以及图像特征点的匹配。-DG lowe the scale-invariant features of the conversion algorithm (SIFT) and OpenGL-based opencv source code based on the increase in the preservation of image fe
SIFT_YantaoNoemie
- 图像特征匹配算法 SCALE INVARIANT FEATURE TRANSFORM -Image feature matching algorithm SCALE INVARIANT FEATURE TRANSFORM
image matching
- 实现了三种图像匹配算法 1：归一化互相关匹配算法 2：基于Hausdorff距离的图像匹配算法 3：图像不变矩匹配算法-Three matching algorithms to achieve 1: normalized cross correlation matching algorithm 2: the image matching algorithm based on Hausdorff Distance 3: Image Invariant Moment Matchin
Image
- 博士论文：图像特征提取、匹配和新视点图像生成技术研究 关键词：基于图像的绘制；虚拟现实；新视点图像生成；宽基线图像匹配；仿射不变量 直线段匹配；立体视觉-Dissertation: Image feature extraction, matching and the new viewpoint image generation technology Keywords: image-based rendering virtual reality new viewpoint image
code-for-robust-feature-based-image-water-marking
- A digital image watermarking scheme must be robust against a variety of possible attacks. In the proposed approach, a new rotation and scaling invariant image watermarking scheme is proposed based on rotation invariant feature and image norma
2Invariant-Image-Descriptor
- 2A Rotation Invariant Image Descr iptor based on ... - AICIT jdcta26-2A Rotation Invariant Image Descr iptor based on ...- AICIT jdcta26
Image-retrieval-
- 本人编写的基于分块信息熵和Hu不变矩的图像检索算法matlab代码~-I prepared segment information based on entropy and Hu moment invariant image retri algorithm matlab code ~
Invariant Image Recognition by Zernike Moments
- 通过Zernike Moments不变矩图像识别原理(Invariant Image Recognition by Zernike Moments)
image recognition
- 分别采用有边缘和无边缘两类图像作为样本库，使用用Hu不变矩对图像进行特征提取，并使用K近邻分类法进行分类和识别。(Two types of images with edges and no edges are used as the sample library, the images are extracted using Hu invariant moments, and the images are classified and identified by K nearest neighb