搜索资源列表
20080111
- 有关图像的目标识别:"给出一种基于特征分类辨识的合成孔径雷达图像目标检测方法#用恒虚警和扩展分形方法对3&E图像进行目 标检测后用面积和峰值能量比算子辨识目标和背景杂波!去除一部分虚警!用小波域主成分分析对每个检测窗口内的图 像提取特征向量!用支持向量机对提取得到的特征向量进行分类!辨识目标和背景杂波!完成目标检测#使用&K?3数 据对该方法进行验证和分析!实验结果表明!经过特征分类辨识后!在检测率不变的情况下!虚警数目显著降低# -Related to the image ta
bp-fenge
- 对图像进行了预处理,同时确定了图像的分类数,对图像进行了基于自组织特征映射的图像聚类处理。-Of the image of the pre-processing, while identifying the classification of the image the number of pairs of images based on self-organizing maps clustering image processing.
Invariantmoments
- 图像 HU 矩 图像描述 特征提取 分类-Image HU moment
bpandkohonen
- 神经网络源码,可应用于遥感图像的分类,采用的包括bp、kohonen。可以作为范例来学习。-Neural network source code can be used in remote sensing image classification, using the included bp, kohonen. Can serve as examples to learn.
SARclassify
- SAR图像分类程序,基于灰度阈值的分类,无监督学习的分类简单。-SAR Image classification
svm00
- 图像处理,包括图像特征提取,图像分类,图像归一化-Image processing, including image feature extraction, image classification, image normalization, etc.
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)
vgg16
- 这是vgg16神经网络基于python的实现,可以用来识别图像中出现的物体。(This is the vgg16 neural network based on Python implementation, can be used to identify objects in the image.)
LBP算法实现图像的纹理分类
- 用LBP(局部二值模式)在MATLAB平台实现纹理分类(Using LBP to achieve texture classification in MATLAB platform)
SVM_IR
- 本代码为图像检索时,要用到的代码, 采用SVM进行图像分类,有很大的作用。(The code for image retrieval, the code used, the use of SVM for image classification, has a great effect.)
Brodatz纹理图像库[001-112]
- 用于图像纹理提取,图像分类等方面的研究,是一个很全面的纹理图像库。(For image texture extraction, image classification and other aspects of the study)
t3_0411
- 根据样本的均值和方差,提取图像中的一个类别,并显示为二值图像(classification According to the mean and variance of the sample, a category in the image is extracted and displayed as a two value image.)
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)
toolbox_DIPUM
- 使用matlab语言实现图像分类,入门级。(using the language of matlab to making Image classification)
CNN
- 使用cnn提取图像特征,然后用SVM分类,此处没有给出训练集,另外imagenet-caffe-alex部分代码需要注意,需要下载的话把注释掉的代码打开(Using CNN image feature extraction, and then use the SVM classification, there were no given training set, also need to pay attention to imagenet-caffe-alex part of the code
风景与建筑图片的分类——支持向量机的方法
- 风景与建筑图片的分类——支持向量机的方法(Classification of landscape and architectural pictures -- Method of support vector machine)
数字图像处理—冈萨雷斯matlab程序
- 对图像进行识别,分类。同时对图像压缩,形态学图像处理,图像分割产生很好的效果。(Recognition and classification of images)
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)
快速K-均值(kmeans)聚类图像分割算法源代码
- 本算法Kmeans可以用于非监督分类学习,用于图像处理、模式识别分类(The algorithm Kmeans can be used for unsupervised classification learning, for image processing, pattern recognition and classification.)