搜索资源列表
AutoUnsupervisedIimageClassification
- 无监督图像自动分类系统,我们在VC中做了一个基于聚类的图像分类方法,可以选择不同的图像特征,还有二个不同的显示方法。使用方法见“使用说明”。-Unsupervised image automatic classification system, we made a VC in the image classification method based on clustering, you can choose different image features, there are two dif
Texture-extraction
- 程序实现图像问题特征的提取,可以用于遥感影像的多特征分类实验。-Procedures for image feature extraction problem, can be used for remote sensing images of multi-feature classification test.
03
- 类的目的就是根据现有的图像特征建立一个分类器,能够对未知的图像类型进行预测。在现有众多分类 算法中,贝叶斯分类器由于其坚实的数学理论基础并能综合先验信息和数据样本信息,成为"-3前机器学习和数据挖 掘的研究热点之一。本文论述了内容图像检索中基于贝叶斯分类器的图像分类技术。介绍了贝叶斯分类器,叙述了 利用贝叶斯分类器进行图像分类的方法,以及图像特征的分布假定。最后通过对分类器的探讨,总结了贝叶斯估计 分类的不足。-The purpose of class is based on a
PCA-and-SVM-Face-recognition
- 采用PCA对人脸特征进行抽取,用SVM多累分类器对人脸进行识别,有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface
paper1
- Gabor小波变换技术对医学CT图像进行纹理特征分类时,由于图像拍摄角度的变化会造成分类的误差。针对以上问题,在Gabor小波变换的基础上提出一种用于分析旋转不变医学图像的方法。该方法采用旋转规范化,即特征元素的循环移位使规范化后所有的图像都具有相同的主方向。实验结果表明,加入旋转规范化循环算子的Gabor小波变换在医学CT图像纹理特征分类时能够达到较好的精确度。-Gabor wavelet transform lacks in its ability to classify the medic
Audio
- 音频特征提取、分类、识别以及检索,希望能够给你带来帮助-Audio
SVM-based-image-classification
- 基于SVM的图像分类,由于支持向量机的分类能力极大地依赖于核参数的选取,因此,本文着重研究了核参数选择方法,并利用不同的颜色、纹理特征对图像进行分类。 -SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel paramet
bp
- bp神经网络实现数据分类——基于语音信号的特征分类-bp neural network data classification- classification based on the characteristics of the speech signal
LDA
- LDA是一种特征分类方法,这种方法是一种线性的方法。-LDA is a feature classification method, which is a linear method.
real-time-facedetection-and-tracking
- 本文运用haar特征分类,对人脸进行动态的检测和跟踪,经过试验对比可以发现效果很好,识别率较高-This paper uses haar feature classification, human face detection and tracking of dynamic, contrast can be found through the test with good results, the recognition rate is higher
HaarPclassifiers
- 利用vs2008编写的利用haar特征分类器实现的人脸检测程序-Use vs2008 prepared by the use haar feature classifier implemented face detection process
svm
- 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-Using MATLAB svm prepared by the source, can achieve a support vector machine for classification or feature extraction-MATLAB
matlabxiaSVMizi
- 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取,并以转子故障诊断为例直观的例子-Using MATLAB svm prepared by the source, can achieve a support vector machine for classification or feature extraction, and fault diagnosis of the rotor case intuitive example
main
- 用Harr特征分类器进行人脸检测,级联分类器 采用opencv中已经完成的人脸训练模型-Harr features classifier using face detection, cascade classifier has been completed using opencv face training model
OpenCV_SVM_example
- 基于OPENCV实现SVM图像特征分类的小例子。-Implementation of SVM image classification based on a small example of OPENCV.
极限学习机源代码
- 图像的特征提取 图像的分类 实现elm算法
lS
- 基于MATLAB的树叶图像特征分类识别,图像分析处理 分割 特征提取 分类识别等-MATLAB-based leaf image feature classification, image analysis and processing, such as segmentation feature extraction classification
LDA
- 有关线性判别分析LDA的英文文献,可以用来进行特征分类-the papers about LDA for feature classfication
直方图特征提取
- 直方图统计特征提取,用于特征识别,分类识别等方面
opencv2411Face-detection
- VS2013 OpenCV2.4.11人脸检测代码,该代码使用Haar特征分类器对图像中的人脸进行检测并圈出。-VS2013 OpenCV2.4.11 face detection code, the code USES the characteristics of Haar classifier to detect human faces in the images of the circle.