Description: 一个提取图像小波纹理特征和颜色特征的源码-a wavelet extraction image texture features and color characteristics of the source Platform: |
Size: 1024 |
Author:陈晶晶 |
Hits:
Description: 线特征的hough提取程序，很不错的，自己试过，绝对可用-Line Features hough the process of extraction, very good that he tried to absolutely available Platform: |
Size: 4096 |
Author:mikle |
Hits:
Description: 对两个及两个以上目标提取边缘和特征，并通过边缘画出目标的外接矩形，外界矩形广泛用于目标的识别和跟踪。-two pairs and two more goals and edge extraction features, and painted goal edge through the external rectangular, Rectangular widely used outside the target identification and tracking. Platform: |
Size: 2048 |
Author:zhouaijun |
Hits:
Description: 共生矩阵的实现及特征提取方法，里面包含了各个特征向量提取的子程序，可以在其他程序中直接调用。-co-occurrence matrix and the realization of feature extraction methods, each of which contains a feature vector extraction subroutine, the other procedures can be called directly. Platform: |
Size: 3072 |
Author:chenwei |
Hits:
Description: 完整的基音识别程序,经过修改,测试正确。包含基音检测，DTW，LPCC，MFCC提取等-integrity of the pitch identification procedures, the result of the revision, the test correctly. Pitch Detection included, DTW, LPCC Features, MFCC extraction Platform: |
Size: 6144 |
Author:tianshi |
Hits:
Description: 人脸检测，基于gabor的提取特征，利用人工神经网络进行人脸检测-Face detection, based on the extraction of gabor features, the use of artificial neural networks Face Detection Platform: |
Size: 15401984 |
Author:smallbearpapa |
Hits:
Description: 纹理元抽取 并计算纹理元的特征 数学形态学实现 原理简单、适用性强-Texture element extraction and calculation of texture features yuan realize the principle of mathematical morphology is simple, applicability Platform: |
Size: 1024 |
Author:liyi |
Hits:
Description: 基于ORL人脸库的人脸识别的特征人脸的提取源代码。-Based on the ORL face database for face recognition facial features extraction source code. Platform: |
Size: 4096 |
Author:yuzhun21 |
Hits:
Description: 提取纹理特征，现在最流行的是gabor小波变换，它的集具有一定的方向性，和纹理特征吻合-Extraction of texture features, and now the most popular is the gabor wavelet transform, it sets a certain direction, and texture characteristics of anastomosis Platform: |
Size: 1024 |
Author:chengyue |
Hits:
Description: matlab编写的图像处理程序，用于提取图像的纹理、颜色特征。-matlab image processing procedures to prepare for the extraction of image texture and color features. Platform: |
Size: 2048 |
Author:杨 |
Hits:
Description: 对含有人脸面部特征进行提取，可以有效的提取出人脸的面部信息，并且进行保存，同时，还有对话框界面-With the Department of Human face features extraction, the extract can effectively face the face of information, and save at the same time, have the dialog box interface Platform: |
Size: 74752 |
Author:要强 |
Hits:
Description: MATLAB 下的模式识别特征提取 用于对特征信号的提取-MATLAB under the feature extraction for pattern recognition features of the signal extraction Platform: |
Size: 237568 |
Author:w |
Hits:
Description: 图像特征识别通过神经网络训练方法实现，是学习参考的好资料-you will need first to run the file that name "charGUI4.fig" and on the right side there is a load training set where you have to train the system first, run any data that is should be from 1 to 9 and 0 like ( 1 2 3 4 5 5 6 7 8 9 0) as many line as you want so if you have a traning data that is 10 columns by 5 lines then you have to assign that to the small boxes that name column and line. right now keep the#words as is because I plan to use it but I change my mind so that it is automatically count the word for you.
after you train the system then load any image test, from the "Load Image" once you upload the image then choose the "select" and then go to the uploaded image and select whatever you want to recognize, after that select "crop" to crop the exact part that you want to recognize after that selcet "Features Extraction" to extract the features after that choose the "recognize" to see the results up on the result box.
P.S. keep in mind that the program has been tested on the Platform: |
Size: 709632 |
Author: 反对撒 |
Hits:
Description: 关于语音处理的英文书籍，其中特征提取部分（MFCC）讲解的很好很详细-The performance of speech recognition systems receiving speech that has been transmitted over mobile channels can be
significantly degraded when compared to using an unmodified signal. The degradations are as a result of both the low
bit rate speech coding and channel transmission errors. A Distributed Speech Recognition (DSR) system overcomes
these problems by eliminating the speech channel and instead using an error protected data channel to send a
parameterized representation of the speech, which is suitable for recognition. The processing is distributed between the
terminal and the network. The terminal performs the feature parameter extraction, or the front-end of the speech
recognition system. These features are transmitted over a data channel to a remote "back-end" recognizer. The end result
is that the transmission channel does not affect the recognition system performance and channel invariability is achieved. Platform: |
Size: 101376 |
Author:gqy |
Hits:
Description: 采用matlab，实现了gabor滤波的核心功能-gabor filter is very famous and really useful for texture feature extraction and image retrivel. attached code is wrriten well using matlab. More detail can be referenced in the paper <texture features for browsing and retrieval of image data> Platform: |
Size: 1209344 |
Author:rocky |
Hits:
Description: 灰度共生矩阵相关资料，包括生成灰度共生矩阵matlab代码，Matlab7工具箱中缺少的graycomatrix.m文件，以及一个通过灰度共生矩阵提取特征的matlab程序（共20多个特征），可以根据他的方法来从灰度共生矩阵中提取你需要的特征。-GLCM relevant information, including generating GLCM matlab code, Matlab7 toolbox graycomatrix.m missing documents, and a gray level co-occurrence matrix feature extraction through the matlab program (a total of more than 20 features), can be based on his method to extract from the GLCM features you need. Platform: |
Size: 11264 |
Author:Du |
Hits:
Description: 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 Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method. Platform: |
Size: 224256 |
Author:Highjoe |
Hits:
Search - features extraction matlab