搜索资源列表
svm_classify_indian_pine
- 支持矢量机分类,MATLAB语言，图像分类程序(support vector machine)
svm_classify
- 支持矢量机，图像分类，数据挖掘，matlab语言(support vector machine)
基于图像的道路裂缝识别算法的研究
- 对于四种未修补裂缝分类问题，研究它们在方向以及分布密度上的差异性来进行裂缝类型 的划分。(For the problem of unrepaired crack classification, we use the differences of them on the crack direction and the distribution for crack classification. Using 2D feature mapping, Delaunay t
基于图像的道路裂缝检测与分类算法研究_阮崇武
- 裂缝是公路路面上常见的一种病害。传统的人工维护、修补的方式慢慢难以满足现代公路发展的需求，裂缝识别智能化已成为智能交通领域的重要课题。(Crack is a common disease on the road surface. The traditional methods of manual maintenance and repair are difficult to meet the needs of modern highway development, and intelligent
wavelet fusion
- matlab小波变换图像融合源代码，文件分类存放(Matlab wavelet transform image fusion source code, file classification storage)
VCA
- 顶点成分分析法，适用于高光谱遥感图像混合像元分解(The vertex component analysis method is suitable for hyperspectral remote sensing image unmixing)
v3qianyi
- 利用Google inception V3 实现迁移学习 进行图像分类(Using Google, inception, V3 to achieve migration learning, image classification)
2
- 基于SVM算法和纹理特征提取的遥感图像分类(based on the SVM algorithm and texture feature extraction of remote sensing image classification)
二值图的分类处理
- the file can be used to classify photos, according to the date calculating from the binarized pahoto
darknet-master
- 是一种神经网络框架，在其基础上可以实现物体检测，图像分类，模式识别功能。(Darknet is a neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do righ
73462685svm
- 关于matlab图像处理 识别 分类 神经网络 支持向量机(About MATLAB image processing, recognition, classification)
Version 1.0
- 这些代码主要是IDL语言源码，主要功能：初始化ENVI,定标,大气校正,融合,镶嵌,裁剪,分类(监督+非监督),面向对象特征提取,结束ENVI(These codes are mainly IDL language source code, the main functions: initialization, ENVI, calibration, atmospheric correction, fusion, mosaic, cutting, classification (supervisi
2016_GAN_Matlab-master
- GAN的matlab版本，用于图像分类和生成(The matlab version of GAN is used for image classification and generation)
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.)
pointDraw
- 在matlab中根据不同类型点画在图像中的程序(In MATLAB according to different types of points in the image of the program)
matconvnet-1.0-beta19.tar
- matlab实现CNN卷积神经网络，进行图像分类。(We can realize neural network with matlab, which will complete the classification of the image.)
Colorhist_Libsvm_dem
- 随着科学技术的飞速发展，机器学习与人工智能技术的不断创新，人们对特定信息检索的需求逐渐增加，使得如何对资源进行合理有效的分类成为一个关键问题。近几年来，基于内容的图像分类的研究焦点主要集中在自然图像的场景分类和物体分类两个方面，大多采用有监督学习方法，通过对底层特征建模和中间语义分析来实现分类。 本文基于Libsvm的图像分类研究及实现，主要针对的是物体分类这一方面，选用了五类水果作为分类研究的对象。对图像进行分类的大体步骤主要包括采集图像样本（主要从Web上获取）、图像预处理（如截成大小一致
kernelBP_chol
- 针对图像的基于核置信传播的分类器，具有收敛速度快，精度高的优点。(This is a sample code for Kernel Belief Propagation Classifier for images.)
CLBC
- clbc,用于图像分类，是Yang Zhao和 De-Shuang Huang的学术论文仿真(Clbc, used in image classification, is the academic paper simulation of Yang Zhao and De-Shuang Huang)
RSC
- 只要是使用稀疏表示方法进行的图像分类，非常有用！(It is useful as long as it is an image classification using the sparse representation method!)