搜索资源列表
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.
SURFmex.zip
- It is very useful for feature extraction in image processing.,It is very useful for feature extraction in image processing.
PCA_SVM.rar
- 此方法采用经典的PCA对人脸图像进行特征提取，用libsvm库函数的SVM分类器对图像分类。,This method uses the classical PCA on the face image feature extraction, with the libsvm library function of SVM classifier for image classification.
Log_gabor.rar
- 很好用的Log-Gabor变换源代码，可以用于图像的特征提取,Good use of Log-Gabor transform source code, can be used for image feature extraction
extractFeatures.zip
- 图像特征提取，包括：颜色直方图，颜色矩，边缘直方图，Gabor小波变换，局部二值图，GIST。,Image feature extraction, including: color histogram, color moment, the edge histogram, Gabor wavelet transform, partial binary image, GIST.
LDA
- 线性判别分析（LDA）用于特征选择，可以对数据集或者图像提取有用特征，用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning
JAVA
- 基于JAVA实现的图像特征提取源代码 图像特征提取的源代码，使用sobel算子提取图像边缘，使用hu矩提取图像形状特征，使用颜色中心矩提取图像颜色特征，请使用eclipes导入该工程并运行test文件（可将test文件中去掉一些注释部分运行更多功能）。-JAVA based on the realization of the image feature extraction image feature extraction source code source code, use the sob
c04
- 这个程序将图像变为二值化图像，然后对图像进行形状的特征提取，算法很全，包含多种图像形状提取方式。-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods. -This process the image into a binary
beamlet
- 采用beamlet变换方法，实现图像线特征提取，以此代码为基础的文章已被核心期刊录用-Beamlet transform methods used to achieve the image line feature extraction, this code is based on the core of the article has been hired Journals
ImageProcessing
- 图像特征提取是图像识别的关键步骤,图像特征提取的效果如何直接决定着图像识别的效果. 如何从原始图像中提取具有较强表示能力的图像特征是智能图像处理的一个研究热点. 本文旨在介绍各种 图像特征提取方法的基本思想、特点和研究发展现状, -Image feature extraction is a key step in image recognition, image feature extraction directly determines how the effect of image
manifold
- 一个Matlab环境下编写的流行学习（manifold)算法，可用于图像特征提取及行为模式提取-Matlab environment to prepare a prevalence study (manifold) algorithm, can be used for image feature extraction and pattern extraction
Texture--feature--extraction
- 程序对matlab自带图片lina进行纹理图像特征提取-Matlab program comes with pictures of lina texture image feature extraction
sift
- 基于SFIT算法的图像处理程序，可以实现一幅图像的特征检测和显示检测结果，同时可以实现两幅图像之间的配准，并接配准后进行拼接，以便用于图像融合使用。-SFIT algorithm based on image processing program, can achieve an image feature detection and display test results, and can achieve the registration between two images and then
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
GA-code
- 遗传算法用于图像处理中，有图像分割，图像特征提取，可以达到很好的效果-Genetic algorithms for image processing, there are image segmentation, image feature extraction, can achieve good results
Image-feature-extraction
- 文章中介绍了几种常用的图像特征提取方法，各种方法的原理解释的非常详细-The article introduces several kinds of commonly used image feature extraction method, the principle of various methods to explain very detailed
Image-feature-extraction
- 资料包含了MATLAB图像特征提取的实例源代码和原图片-Information includes the image feature extraction MATLAB source code and examples of the original picture
image-feature-detection-and-matching
- 用于图像特征提取和匹配，三维重建等的经典方法，包括sift，surf，Harris，RANSAC,8点算法等-For image feature extraction and matching, 3D reconstruction and other classical methods, including sift, surf, Harris, RANSAC, 8 point algorithm, etc.
image-feature
- 传统彩色图像二值化是先将彩色图像转换成黑白图像后，再对黑白图像进行的二值化。在转换过程中有 可能丢失原始图像信息。提出的基于图像特征值的彩色图像二值化是基于原始图像特征值进行的二值化，提出了先粗分后细分的逻辑规范。粗分时，先根据特征表达式，计算图像的特征值阈值，然后以阈值对图像像素进行划分；细分时，依据像素颜色相近，对图像像素进一步细分，能让图像二值化达到比较好的效果 -After conventional color image binarization is the first co
Image-feature-detection
- 提取图像边缘特征，应用于人脸识别，图像特征区域提取。(Extracting image edge features and applying it to face recognition, image feature extraction)