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 |
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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 |
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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 |
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Description: 脸部特征提取 最近看到的 可以下载看看 挺好玩的-Facial feature extraction can be downloaded recently seen look very good playing Platform: |
Size: 28672 |
Author:张华振 |
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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 |
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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 |
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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 |
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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 |
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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 |
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Description: 对文字笔画特征进行提取，可以对图像中的文本区域进行定位。-Stroke extraction of text features, you can image in the text area to locate. Platform: |
Size: 109568 |
Author:jack |
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Description: 提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定
位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进
行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和Ekman“面部表情图片”数据库上的实验，证实
了所提方法的有效性。-Proposed based on feature fusion and fuzzy kernel discriminant analysis (FKDA) facial expression recognition. First, face images of each piece of hand-set
Bit 34 basis points, as the geometric features of facial expression images, while using Gabor wavelet transform method to transform the images of each piece of expression, and extraction-based
Quasi-point of the Gabor wavelet coefficients, as Gabor features of facial expression image second, using canonical correlation analysis on the geometric features and Gabor features into
Line feature fusion, as expression recognition of input features then, using fuzzy kernel discriminant analysis method to extract and further identification features of expression Finally, the most
Neighbor classifier to complete expression of the classification. International expression by JAFFE database and Ekman "facial image" database on the experiment, confirmed
The proposed method. Platform: |
Size: 375808 |
Author:MJ |
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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 |
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Description: This thesis relates to the design, implementation and evaluation of statis¬ tical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on issues like background noise, lighting and position of key features (ie. the eyes, lips etc.). Using an approach which specifically uses an embedded Hidden Markov Model along with spectral domain feature extraction techniques, shows that these dependencies may be lessened while high recognition rates are maintained. Platform: |
Size: 1726464 |
Author:ivan |
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Description: An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles.-An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles. Platform: |
Size: 324608 |
Author:fais |
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Description: Gabor wavelet transform applied to feature extraction of ophthalmic images.
We investigate a new approach for measuring ocular
refractive errors (astigmatism, near-sightedness and shortsightedness)
from images of the human eye [1]. This
approach uses Support Vector Machines (SVMs) to
analyse data features extracted from images of the eye
acquired with a technique known as Hartmann-Shack [2]
and output measures for the eye´ s refractive errors. Prior to
analysis and feature extraction an image processing stage
takes place to identify and crop the region of interest
considering domain spatial and geometrical information.
Then a set of relevant image features are extracted using
wavelet and Garbor Transforms. These features are finally
fed into a SVM module for analysis that provides a
diagnosis of refractive errors present in the ocular globe
under investigation. Platform: |
Size: 7168 |
Author:Real |
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Description: 对空间卫星、飞机等图像进行特征提取，提取的特征包括面积，周长，紧密度，及离心率-Space satellites, aircraft and other image feature extraction, the extracted features include area, perimeter, compactness, and eccentricity Platform: |
Size: 98304 |
Author:陈铭 |
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Description: this coding is developed for automatic framing analysis with features extraction of signal processing data. The features selected were statistical features. Platform: |
Size: 517120 |
Author:najah |
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