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处理图像分类的最小二乘法svm工具箱
- 这是处理图像分类的最小二乘法svm工具箱，里面有详细的使用说明，功能强大，欢迎下载使用。,This is the deal with image classification of least squares SVM toolbox, which has detailed instructions and powerful are welcome to download.
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.
OpenCV-IMLEMENT-SVM
- OPENCV实现SVM,很好的实现了图像分类，供大家参考-USE openCV to implement the SVM
svm_src
- Support Vector Machine Classifier(SVM) 基于支持向量基的图像分类方法，程序变得很好，国外网站上下的，是一个完整的工程-Support Vector Machine Classifier (SVM) based on support vector-based image classification methods, procedures have become very good, abroad site from top to bottom, is a
7894561@dagsvm
- 很好用的svm工具箱，dagsvm对于图像分类效果非常好，分类精度很高，代码清洗简单。-Good use of SVM Toolbox, dagsvm for image classification effect is very good, very high classification accuracy, code cleaning easy.
LS-SVMlab1.5
- 支持向量机，用于图像分类分割，目标检测识别,人工智能信息处理-support vector machine has been widely used in classification and object identification.
8080524
- 基于特征选择和svms的图像分类 MI算法-Feature selection and image classification svms
SVM
- 数字图像处理，实现了基于内容的自然图像分类和检索-Digital image processing, and content-based classification and retrieval of natural images
svm
- 本程序包括：论文SVM 用于基于块划分特征提取的图像分类，和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。 -The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction,
SVM-based-image-classification
- 基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。 -SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel paramet
SVM-Classification
- Matlab写的SVM图像分类程序，是完整的可运行的图像分类程序，高手可以研究一下。-Matlab write SVM image classification procedure is complete working image classification procedures, experts can look at.
hog_svm
- matlab实现hog+svm图像二分类(Matlab implementation of hog and svm images two categories)
fishersvm
- 可直接运行的fisher和SVM分类算法(Fisher and SVM classes that can be run directly)
3
- 基于底层特征和SVM的图像分类image classification based on the underlying characteristics and the SVM(image classification based on the underlying characteristics and the SVM)
SVM
- 通过HOG获取特征，用SVM对图像进行分类。(The feature is acquired by HOG, and the image is classified by SVM.)
PCA-SVM-master
- PCA/SVM算法实现图像分类，分类准确率可到达90%(Image classification by PCA/SVM algorithm)
基于支持向量机的图像分类
- classifier.mat文件太大未上传。可运行一次main3生成 getFeatures.m 获取灰度共生矩阵相关特征 main-main6 训练 + 识别 predict.m 单独的分类程序 temp.m 单独的分类演示程序(classifier.mat file is too large to upload. Can run a main3 to generate getFeatures.m Get the grayscale co-occurrence matrix rel
SVM
- 使用HOG提取特征，SVM进行图像分类，可以进行两种以上分类(Using HOG to extract features and SVM for image classification)
SVM论文1
- SVM图像分类的论文5篇，是最近几年的，有参考价值(5 papers on the classification of SVM images, which are of reference value in recent years.)
基于支持向量机的几种核函数遥感图像分类比较
- 该文献详细介绍了支持向量机SVM在遥感图像中的应用，尤其是在小目标的提取上居然不可替代的作用(In this literature, the application of support vector machine SVM in remote sensing images is introduced in detail, especially the irreplaceable role in the extraction of small targets)