搜索资源列表
K_means_color_segmentation.rar
- 用k-means 做彩色图像分割，分类数可选,Using k-means to do color image segmentation, classification number of optional
matlab-code
- 小波分析 图像融合 决策树分类 matlab 源代码 -fusion image, classify
NcutClustering
- 谱聚类和SVM相结合的图像分割程序,这是用matlab编的谱聚类程序，该方法能有效的用于数据分类。-This is a matlab procedures for the spectral clustering.The method is effective for data classification.
Rec_BaseOnCN
- 使用复杂网络提取图像边缘特征并进行识别的源代码，采用PCA_LDA算法对特征进行降维分类识别，识别效率很高。鲁棒性好-Extracted using image edge characteristics of complex networks and to identify the source code, using PCA_LDA algorithm to reduce the dimensions feature classification, identification with hi
Classification-MatLab-Toolbox
- Classification MatLab Toolbox一个很好的图像处理界面，它能够使用很多算法进行模式识别分类-Classification MatLab Toolbox a good image processing interface, it can use many algorithms for pattern recognition classification
Subpattern-based_principal___component_analysis.zi
- 子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the
Ncut_SVM
- 此源码可对图像进行Ncut分割，并且集成了特征提取和SVM分类的功能。-This source can be Ncut image segmentation, and integrates the feature extraction and SVM classification function.
LocalOstu
- 基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification
FuzzyClusteringToolbox
- 四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separatio
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
hog_svm
- matlab实现hog+svm图像二分类(Matlab implementation of hog and svm images two categories)
BP网络图像分类
- 识别图像中道路，建筑，基于BP神经网络，里面有图片(Identify roads, buildings, etc in images)
基于MATLAB图像分割分类代码
- 彩色数值自动识别代码 KMEANS自动 散点图 基于MATLAB图像处理(Color numerical automatic identification code)
图像分类
- 这里使用svm支持向量机对多类图像进行分类
分类
- 图像分类，输出迭代学习次数与正确率的图像(Image classification, the output of iterative learning times and the correct rate of image)
Indian
- 使用基于词典的稀疏表示高光谱图像分类,多任务联合稀疏表示和逐步MRF优化的高光谱图像分类(Dictionary-based sparse representation hyperspectral image classification, multi-task joint sparse representation and stepwise MRF optimized hyperspectral image classification)
classifier_cnn
- 利用MATLAB实现一个基于CNN的图像分类算法(Implementing an image classification algorithm based on CNN with MATLAB)
卷积神经网络CNN进行图像分类
- 基于卷积神经网络的图像识别，应用于MATLAB(Image Recognition Based on Convolutional Upgrading Network)
exp1
- matlab实现最大似然法的遥感图像分类，数据以excel形式给出(MATLAB realizes the classification of remote sensing images by maximum likelihood method, and the data are given in Excel form)
神经网络图像分类代码
- 神经网络图像分类代码，内含赋值计算代码，matlab程序