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niaochenzhazidongshibiesuanfa
- 本文展开了对尿沉渣图像 自动识别算法的研究。著者在从事“尿沉渣图像自动识别算法的研究”课题的研究 中,广泛吸取了国内外已有的有益成果,根据尿沉渣图像特点从图像增强、图像 分割、特征提取和特征选择、图像识别等各个环节寻求最佳的可行方法以提高识 别的性能,提出了基于组合图像分割算法、改进的特征提取和特征选择算法以及 BP神经网络分类器的尿沉渣图像自动识别算法。-This started on the urine sediment image recognition algorit
Invariantmoments
- 图像 HU 矩 图像描述 特征提取 分类-Image HU moment
texture-analysis
- 这些都是本人收集的关于纹理特征提取与分类的资料,希望对大家的学习有帮助。-These are the datas that I collected on the texture feature extraction and classification, I wish those will be same help for your studies.
wenlitezheng_tuxiangshibie
- 纹理特征的图像分类识别,个人感觉还不错,做作业时候用上了-Texture image classification and recognition, personal feeling pretty good, spend the time doing homework
svm
- SVM源程序,可以用来进行特征分类或提取 -MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract
svm
- 本程序包括:论文SVM 用于基于块划分特征提取的图像分类,和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。 -The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction,
case1
- BP神经网络的数据分类-语音特征信号分类-BP Neural Network for Data Classification- Classification of speech feature signals
Chinese-text-categorization-Study
- 本文通过对Bayes、KNN、SVM 应用于中文文本分类进行比较实验研究。 应用ICTCLAS 对中文文档进行分词,在大维数,多数据情况下应用TFIDF 进行 特征选择,并同时利用它实现了对特征项进行加权处理,使文本库中的每个文本 具有统一的、可处理的结构模型。然后通过三类分类算法实现了对权值数据进行 训练和分类。-Based on the Bayes, KNN, SVM applied to compare the Chinese text ca
Sensitive-image-filtering
- 研究了基于内容敏感图像过滤中的若干关键 技术, 分析比较了三种常用的肤色检测算法, 利用统计阈值法评价了各个特征分类图像的能力强弱, 并依此实现了一个决策树 敏感图像过滤器。为有效降低肖像类正常图像的误判率, 又在过滤器中使用了人脸检测机制-Of context-sensitive image filtering based on the number of key technologies, analysis and comparison of the three common ski
8classifier
- 可对txt格式的特征文件进行多分类,此处以八分类为例。-Txt format can be a profile of multiple classification
GaborFilter
- 利用Gabor滤波器提取图像纹理特征,用于图像分类模式识别-Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV.
chip_histogram_features
- 特征提取是模式识别中最重要的一个部分,这里提供的matlab代码计算一些基本的话音特征,而且,提供了一个简单的基于直方图的特征分类方法的实现。基本的特征包括:特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减等等六个特征-Pattern recognition feature extraction is the most important part, here' s matlab code to compute so
ensembles_pca_svm_new10v
- pca做特征降维,然后进行特征空间随机分割构造多个svm分类器,并行处理,对样本进行分类,基于特征空间的svm多分类器-using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature sp
mysvm
- 利用数据的特征分类数据,然后完成相应的工作,很好用的-Disaggregated data by the characteristics of the data, and then complete the relevant work, the good
PRL_Perspective_FMM
- 图像处理中的用于特征分类检测的工具箱,很有实用价值-Image processing for feature classification detection kit, great practical value
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.
LBP
- LBP算法,应用于识别,特征提取等多方面的一种潜力算法,主要实现图像的纹理分类-LBP algorithm, used in recognition, feature extraction algorithms and other aspects of a potential,Mainly for image texture classification
textureseg
- 用于图像的纹理分割,适合用于图像的纹理分割和图像特征分类,并且是基于MATLAB实现的纹理特征分割。-For image texture segmentation, texture suitable for image segmentation and image feature classification, and is based on the MATLAB implementation of the texture features segmentation.
Steganalysis-Based-on-dctdwt-space
- 基于SVM分类器的三域特征融合图像隐写分析算法。三域分别是指dct域,dwt域和空域。-A Steganalysis Based on the Fusion of Three-domain Features of Image and SVM (Support Vector Machines) Classifier.the three domain is the dct,the dwt and the space
KB-Detector-src
- 功能说明:输入一幅图像,能对此图像检测关键点,这些点通常对应图像中的重要对象,可用于对象识别,也可用来作为特征进行图像分类。运行其中的例程Ldx_GoSalScale.m,就可以知道此程序的用法(调试环境matlab7.0)。-Function: input image, this image can detect critical points, these points usually correspond to an important object of the image can be