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Feature extraction is a key issue in contentbased
image retrieval (CBIR). In the past, a number of
texture features have been proposed in literature,
including statistic methods and spectral methods.
However, most of them are not able to accu
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基于高波小波特征提取和神经网络的人脸检测Matlab源码。-Based on high-wave wavelet feature extraction and neural network face detection Matlab source code.
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The matlab code contains feature extraction of Hand goemetry in biometrics
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Feature Extraction code using in image processing.
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利用特征提取对图像中的文字进行定位和检测-Feature extraction using the text in the image to locate and test
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工作在图像特征提取。这里采用多尺度图像分析方法,将轮廓分解投影。-Work in the image feature extraction. Here the multi-scale image analysis method to decompose projection contour.
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一个可执行的HMM语音识别程序例程,实现了对10个数字音的识别程序,包含了HMM语音识别中的分段,MFCC特征提取,Baum-Welch训练,及Viterbi等算法,通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welc
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利用小波进行一级特征提取,在此基础上采用2dpca进行二级特征提取,用于人脸识别。-Carried out a wavelet feature extraction, in this based on the use of 2dpca for two feature extraction for face recognition.
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一套指纹识别算法,从指纹的采集到特征提取,全都有。-Is a fingerprint recognition algorithm, from the collected fingerprint feature extraction, all there is.
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基于视觉特征的图像特征提取,在HSV颜色空间提取彩色纹理特征-Based on the visual characteristics of image feature extraction, in the HSV color space, color texture feature extraction
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基于matlab颜色特征图像检索的颜色特征的提取-Matlab color feature based on the color image retrieval feature extraction
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This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. T
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计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸
特征提取方法。-Computer Fac
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边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中,以微分算子的形式表示,并采用快速卷积函数来实现。常用的算子有微分算子,拉普拉斯算子,Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子,具有较好的边缘检测性能,得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分,它能在噪声抑制和边缘检测之间取得较好的平衡-Edge feature extraction is to seek the local maximum of image gradient and ori
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小波变换是一种信号的时间—尺度分析方法,它具有多分辨率分析的
特点,而且在时频两域都具有表征信号局部特征的能力。由于其在信号处
理领域表现出的优异性能,目前在生物医学领域,广泛应用于信号检测、
特征提取、图像处理、信号压缩等方面。
-Wavelet transform is a signal of the time- scale analysis method, it has the characteristics of multi-resolution analysis, bu
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经验模态法可以做信号加强、模式识别、特征提取等,本程序是经验模态的matlab实现,-the realization of emd using matlab.it canbe used in the signal denoising ,pattern recognition and feature extraction
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ocr feature extraction in matlab for example
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这是一个使用了Gabor特征提取和人工智能的人脸检测系统源代码
使用步骤:
1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱)
2. 找到"main.m"文件
3. 命令行中运行它
4. 点击"Train Network",等待程序训练好样本
5. 点击"Test on Photos",选择一个.jpg图片,识别。
6. 等待程序检测出人脸区域
createffnn.m, d
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pca又称主成分分析,主要用来提取图像的主要成分,作为特征提取一个重要算法,将其用于人脸识别-pca, also known as principal component analysis, mainly used to extract the main component of the image, as a key feature extraction algorithm, be used in face recognition
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先用gabor 小波滤波器,做特征提取,然后用支持向量机(SVM)做分类,来实现人脸检测.需要用matlab 2010 或更新的版本才能运行-the code is used for face detection.Firstly it use gabor wavelet filter for feature extraction,Secondly it use support vector machine (SVM)for classification.matlab 2010 required.
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