搜索资源列表
zuoye
- 对图像进行分割,同时根据贝叶斯分类准则,对图像进行准确分类,可以分别识别各种图形的形状(The image is segmented, and the image is accurately classified according to Bias classification rule, and all kinds of shapes can be identified separately.)
规则图像特征提取
- 运用matlab规则图像特征提取分析,分类(Feature extraction of regular image)
Demo_Broadlearning_MNIST
- 宽度学习是最近比较热的分类器,可用于图像分类等应用(image classification Broad learning)
fisher
- 识别所给出图像与图像库中的图像进行比对识别分类(The recognition and classification of the image and the image in the image library are identified.)
fenlei
- 利用hog提取特征输入到svm分类器中,适用于新手(Using hog extraction feature input to svm classifier, suitable for novices)
CRF++-0.44.tar
- 条件随机场的c++实现,可用于文本标注、图像分类、分割等领域(conditional random field,CRF++ 0.44)
20171211留档
- 利用SVM对制备的样本进行三分类,对图像进行三角形匹配,模板匹配(SVM was used to classify the samples in three categories. Triangle matching and template matching were applied to the images.)
subareaFlevoland
- 极化SAR图像分类数据,Flevoland部分地区T3矩阵数据(Dataset for PolSAR image classification, T3 matrix of Flevoland subarea.)
CIFAR10
- 在CIFAR-10数据集上使用卷积神经网络进行图像分类(Image classification using convolution neural network on CIFAR-10 dataset)
svm
- 基于hog特征的svm的图像分类识别,matlab程序(Image classification and recognition based on hog-svm)
SVM做图片处理
- 使用SVM算法对CIFAR-10图片数据集进行分类,包括模型的训练,测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)
googlenet运行实例
- 利用googlenet实现图像分类,是googlenet的一个应用实例,只要在网上下载googlenet模型,将其放到对应文件夹中即可运行。绝对保证可以运行(Using Google eNet to classify images is an application example of Google enet. Just download the Google eNet model and put it in the corresponding folder to run. Absolutel
CNN_HSIC-master
- CNN高光谱图像分类,包含1D,2D,3D(CNN hyperspectral image classification)
贝叶斯人脸识别
- Pattern-Recognition-and-Machine-Learning-master,项目包括使用贝叶斯分类器的字符识别,基于GMM的图像分割,使用PCA的人脸识别和具有径向基函数的多类SVM分类器(Pattern-Recognition-and-Machine-Learning-master)
fruit-recognition-master
- 运用了OpenCV、C++、水果识别、Qt界面、颜色识别、边缘检测、图像处理 ,能够实现对不同种类水果进行识别分类。(Using OpenCV, C++, fruit recognition, Qt interface, color recognition, edge detection, and image processing, it is possible to identify and classify different types of fruits.)
DeepLearningImageClassificationExample
- 这是一个标准的深度学习图像分类和目标跟踪的matlab程序,效果好,运行平台为matlab2017b.(This is a standard in-depth learning image classification and target tracking matlab program, good results, running platform for matlab 2017b.)
tensorflow-vgg16-train-and-test-master
- vgg深度学习,图像识别,用于图像的分类,在python上运行(vgg deep learning, image recognition, used for image classification, running on Python)
基于SVM的光学字符识别
- OCR光学字符识别是将纸上的文字扫描成数据集,然后对数据集进行分类,最终自动识别字符的技术。(OCR optical character recognition is a technology that scans text on paper into data sets, then classifies the data sets, and finally automatically recognizes characters.)
代码
- 图像配准的过程中两种或两种以上的图像重叠了在不同的同一个场景倍,从不同的观点和/或不同传感器。这两images-the区域的几何参考和感觉到图像。目前图像之间的差异,介绍了因不同成像条件。图像配准的一个决定性的步骤所有图像分析任务在最后的信息结合了各种各样的数据能源,如在图像融合、变化检测和多通道形象得到恢复。通常,必须注册在多光谱遥感分类、环境监测,变化检测图像拼接、天气预报、创造超分辨率图像、整合信息到地理信息系统(GIS)),结合医学计算机断层扫描(CT)、核磁共振数据获得更完善的信息,如
MATLAB
- 实现遥感图像地物分类,利用了BP神经网络,结果清晰功能强大(Realization of Ground Object Classification in Remote Sensing Images)