搜索资源列表
svm
- 图像处理，支持向量机用于交通标志检测，对红绿灯具有很好的识别效果，适合刚入门图像处理的同学们参考-Image processing, support vector machine for traffic signs detection, the traffic lights have a good recognition effect, for beginners image processing students reference
svm--classification
- 基于支持向量机的图像分类，含有各种图像分类实例，以及最小二乘支持向量机优化算法-Image classification based on support vector machine, including various image classification examples, and least squares support vector machine optimization algorithm
hog_svm
- 这文件夹包含了，hog特征提取，多类SVM分类器，数据库，图像识别(This folder contains the hog feature extraction, multi class SVM classifier, database, image recognition)
HOG
- 求取任意图片的HOG特征，一共提取360个梯度特征，可用于ADABoost，SVM中。(Seek the HOG feature of any picture)
ABC_SVM
- svm算法，用于数据挖掘，分类。图像处理(SVM algorithm for data mining, classification. image processing)
SVKedperkment
- 一个完整的具有图形操作界面的支持向量机模式识别的实验系统,(A complete with a graphical interface of the support vector machine (SVM) pattern recognition experiment system,)
vecvor__SVM
- 这是关于支持向量机SVM的例子,实用多多,大家可以看一下(It's all about support vector machine SVM example, practical, you can have a look)
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.)
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)
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)
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
- 采用支持向量机的方法对图像进行处理，基于深度学习等。(Support vector machines are used to process images, such as depth learning.)
hog_svm
- 利用hog特征以及svm实现两个类别图像的分类(Classification of two categories of images using hog features and SVM)
图像分类
- 这里使用svm支持向量机对多类图像进行分类
letters_svm
- 在halcon集成环境中,和如何估简单向量机进行字符识别.(* This example program shows how to use a simple SVM OCR classifier)
SVM_SMO
- 线性分类器，svm，在图像识别分类表现不错(linear classification)
Simple-Handwritten-Numerel-Recogntion-master
- 使用SVM算法进行数字图像识别，使用的是手写数字的训练(The use of SVM algorithm for digital image recognition is the training of handwritten numerals)
PaviaEMPSVM
- 利用形态学滤波结合SVM分类算法对高光谱图像进行分类(Using morphological filtering and SVM classification algorithm to classify hyperspectral images)
faceRecognization
- 本程序中，利用了LBP特征对人脸特征进行提取，并且利用SVM对提取的人脸特征进行训练和识别，其中，所用的图像处理库OpenCV2.4.9版本；通过对人脸库中的标准标本进行测试，算法识别率高达95%以上；(LBP features extract facial features, and use SVM to extract and recognize the facial features. The OpenCV2.4.9 version of the image processing libr