Description: 这是一个采用小波和最优算子提取图像边缘(轮廓)的动态库，其效果
非常好，曾用于很多图像识别软件中。附有示例程序。
用于商业目的可能需要注册。-This is a wavelet and optimal operator Image Edge Extraction (contour) of the dynamic, the effect is very good. has been used for many image recognition software. With sample program. Used for commercial purposes may require registration. Platform: |
Size: 4430281 |
Author:张晓峰 |
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Description: 带有多种小波基的小波变换程序，可用于图象识别，信号突变检测。-with multiple small Porgy wavelet transform procedures can be used to image recognition, signal mutation detection. Platform: |
Size: 4096 |
Author:麦子 |
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Description: VC++编写的图像处理及识别软件，小波软去噪代码，有利于图像识别功能的完成。-VC prepared by the image processing and recognition software, wavelet denoising software code is conducive to the image recognition function to complete. Platform: |
Size: 32768 |
Author:李成成 |
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Description: 提出一种基于多纹理特征融合的新颖虹膜识别方法。该方法对虹膜图像做Gabor 小波变换
提取不同分辨力不同方向下的纹理特征作为虹膜的全局特征，在滤波后的子窗口图像上运用灰度
级共现矩阵(COM)提取虹膜的局部特征。通过加权欧几里德距离和最小距离分别对全局特征和局部
特征进行分类识别。-A texture feature fusion based on multi-novel iris recognition method. The method of iris image make Gabor wavelet transform extracted under different resolution in different directions as the texture feature of the overall characteristics of the iris, in the post-filter sub-window image using gray level co-occurrence matrix (COM) of the local feature extraction of the iris. Through the weighted Euclidean distance and minimum distance, respectively, on the global features and local features for classification. Platform: |
Size: 770048 |
Author:闫慧 |
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Description: 这是《精通VC++数字图像模式识别技术及工程实践[第2版]》光盘源代码，其中包括EM算法、fisher判别函数、HMM隐马尔科夫模型、BP神经网络、小波变换、alpha-beta剪枝、A*算法等，还包含几个纹理分析、人脸定位、字符识别、车牌号识别、8数码、黑白棋、离线/在线签名等实例，因此对于学习模式识别、人工智能的朋友们都大有裨益。光盘中的素材请见另外一个资源。-This is " proficient in VC++ Digital Image Pattern Recognition Technology and Engineering Practice [2nd edition]" CD-ROM source code, including the EM algorithm, fisher discriminant function, HMM hidden Markov model, BP neural network, wavelet transform, alpha- beta pruning, A* algorithm, but also contains a number of texture analysis, face positioning, character recognition, license plate number recognition, digital 8, Reversi, offline/online signatures examples, so for studying pattern recognition, artificial intelligence friends are of great benefit. CD-ROM material, see the other resources. Platform: |
Size: 14680064 |
Author:吴 |
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Description: 国内近几年城市智能交通系统发展的很快，车牌识别系统作为
城市智能交通系统中信息采集的一种手段，也得到了很快的发展。
本文在详细研究了国内外的各种有代表性的车牌识别系统的基础上，结合
中国车牌的特点研发了一种适合中国车牌的识别系统。该技术于2004年荣获得
了公安部科技进步二等奖。
本文对车牌识别技术的研究，主要的创新有四个方面：
1基于小波分析的方法,成功地解决了车牌定位系统中传统的图像识别手段
很难解决的三个问题；
2本文对图像获取的摄像系统自适应控制技术进行了研究，创造性的提出了
行驶车辆图像获取的摄像机自适应控制系统(Acquring Image Adaptive Control
System,AIACS),很好的解决了车牌识别系统的全天候的问题；
3本文将车牌识别技术应用于车辆测速系统，在完成车牌识别的同时,解决
了测速问题,该技术目前处于国内领先水平,将车牌识别用于测速系统在国内是
首创；
4本文还对车牌识别的定位、切分、识别进行了详细的研究，并分别提出了
几种实用的新算法。-ITS(intelligent transportation systems)is progressing rapidly in
recent years in China.At the same time,as the information collection
method for ITS,the vehicle plate recognition technology has also
developed very fast.
Based on the detail analysis for the typical vehicle plate
recognition systems(VPRS),the peculiar VPRS presented suitable used in
China,concerning the charactristics of Chinese vehicle plate.The
technology of vehicle plate recognition has won the Second Prize of
Science and Technology Advancement of the Ministry of Public Security
of P.R.China.
The research presented here for VPRS is characteristic of the four
creation points showing bellow:
First,the problems which are of troubles really in the traditional
image treatment technology have been successful solved in use of wavelet
analysis.
Second,the Acquring Image Adaptive Control System(AIACS)has been
presented creatively to be adaptive in all weather conditions.Third,the vehicle plate recognition techn Platform: |
Size: 10698752 |
Author:陈忠厚 |
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Description: 基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由
于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份
验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征，
它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来
越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科
的研究热点。-Based on wavelet analysis and principal component analysis of the Face Recognition With the social development of all aspects of society in his capacity as quickly and efficiently verify the requirements of increasingly urgent. Biological characteristics as a result of the inherent human attribute, has a strong individual differences in their stability and, therefore, is an ideal basis for authentication. The use of facial features which is the most natural means of direct, compared with other biological characteristics, it has a direct, friendly, convenient and easy for users to accept. Thus, face recognition has attracted more and more from the computer vision and signal processing and other areas of concern, as a pattern recognition, image processing, such as the research subjects. Platform: |
Size: 37888 |
Author:付采 |
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Description: 基于小波变换的matlab图像处理程序，可用于图像预处理，人脸识别，特整提取等功能。-Based on wavelet transform matlab image processing procedures, can be used for image preprocessing, face recognition, special features such as the whole extract. Platform: |
Size: 2048 |
Author:谭启蒙 |
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Description: 基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化，然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图，最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。-Flexible template matching based on facial expression recognition procedures. First of all, the expression for the static image of the gray-scale face image, size, normalized, and then extracted using Gabor wavelet transform features of human facial expression to expression of elastic graph structure, and finally based on flexible template matching and the K-neighbors classification algorithm Facial Expression identification. Platform: |
Size: 763904 |
Author:hejian |
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Description: 人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会
议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为
当前模式识别和人工智能领域的一个研究热点。
本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率- Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries , video meeting, and human-computer intelligent interactions.
The paper introduced the method of face recognition that based on the 24 bit multicolor image, Main content that the paper introduced is the picture treatment, It occupies the extremely important position in the whole software, the quality of picture process directly influenced the accuracy rate of localization and discerning. The picture process technology that the software mainly used included : light compensating、gauss smooth and twain value method. before discerning, we compensated the light for image, then we could obtain the possible face area through the complexion, finally, the system could depend on the symmetry of eyes to make sure whether it is the face of people, at the same time, the system could eliminate noises through the method that named gauss smoothness, then we use Platform: |
Size: 2286592 |
Author:张雨 |
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Description: 基于Gabor变换的图像纹理识别。
提出了一种改进的Gabor变换的图像纹理增强算法，将空域的纹理图像变换到联合空间频率域并将联合空间
频率域的能量分布作为掌纹的特征，Gobar滤波器在频域内对子块其主方向上频率能量分布进行滤波，特征向量进行了匹配
识别，增强特征纹线信息并对核心区域进行多方向空间频率能量滤波合成，同时也对滤波算法进行了优化，有效地减少了运
算量。-Gabor transform based image texture recognition. An improved image of the Gabor transform texture enhancement algorithm, the airspace of the texture image transform frequency domain to the joint space and joint space frequency domain characteristics of the energy distribution as a palm, Gobar filter pair in the frequency domain block its the main direction of the energy distribution of the frequency filtering, feature vectors were matched to identify, enhance the features of ridge information as well as the core region of multi-dimensional spatial frequency energy filter synthesis, but also on the filtering algorithm has been optimized, effective in reducing the computational complexity. Platform: |
Size: 820224 |
Author:爱学习 |
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Description: Wavelet transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when Wavelet coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes Wavelet-based face recognition much more accurate than other approaches.
Platform: |
Size: 21504 |
Author:mhm |
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Description: 小波变换是在傅立叶变换的基础上发展起来的，它优于傅立叶分析的地方是它在空域和时域都是局部化的，其局部化格式随频率自动变换，在高频处取窄的时（空）间窗，在低频处取宽的时（空）窗，适合处理非平稳信号，在图像处理、模式识别、机器人视觉、量子力学等领域得到广泛应用。-Wavelet transform is a Fourier transform developed on the basis, it is better than Fourier analysis of the place is that it is in the spatial and temporal localization, and its local format with the frequency of automatic conversion, and narrow at high frequencies when taken (empty) room window, taking in the low frequency when the width of the (empty) window, suitable for handling non-stationary signal, the image processing, pattern recognition, robot vision, the field of quantum mechanics has been widely used. Platform: |
Size: 5537792 |
Author:杨洋 |
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Description: 本书全面系统介绍了小波分析的基本理论和最新研究成果，重点介绍小波分析的应用成果，并通过软件实现来检验应用效果。全书分为三篇：第一篇是小波理论，包含8章内容，小波分析的发展历史及文献综述、准备知识、多分辨分析与共轭滤波器、连续小波变换、最佳小波基的构造及算法、二维母小波的构造、框架与样条小波理论、时间----频率分析；第二篇是小波应用，包含12章内容，详细介绍了小波分析在图象压缩、流体力学、工业CT、故障诊断、语音分割、数学物理、地球物理勘探、医学细胞识别、线性系统、神经网络等方面的应用；第三篇是小波软件，将第一篇和第二篇的重要算法用C语言实现，且全部在微机上调试通过，读者可直接应用或稍加修改即见成效。-This book systematically introduces the basic theory of wavelet analysis and the latest research results, focusing on the application of wavelet analysis results and applications through the software to test results. The book is divided into three: first is the wavelet theory, contains 8 chapters, the history of development of wavelet analysis and literature review, preparation of knowledge, multi-resolution analysis of the conjugate filter, continuous wavelet transform, the best wavelet algorithm for the construction and two-dimensional structure of the mother wavelet, frame and spline wavelet theory, time frequency analysis---- second is the wavelet applications, contains 12 chapters, detailing the wavelet analysis in image compression, fluid mechanics, industrial CT , fault diagnosis, speech segmentation, mathematical physics, geophysical exploration, medical cell recognition, linear systems, neural networks and other applications third is the wavelet software, the importance of t Platform: |
Size: 13684736 |
Author:辉 |
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Description: 首先计算掌纹图像二维Gabo r小波变
换系数的幅值, 将其作为掌纹图像的原始特征 其次, 利用
2DPCA 实现原始特征的降维 然后, 利用PCA 与FLD 的融合算
法进行二次降维的同时提取出最有利于分类的鉴别特征 最后,
利用最近邻算法进行掌纹的分类识别。
-First calculate the two-dimensional Gabo r palmprint image wavelet coefficients of magnitude, its characteristics as the original palmprint image Secondly, the use of original features 2DPCA realize dimension reduction then, the use of PCA and FLD fusion algorithm is a second drop dimension at the same time extract the most favorable classification identification features Finally, the nearest neighbor algorithm for palmprint classification. Platform: |
Size: 1410048 |
Author:李 |
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Description: 小波分析诞生于20世纪80年代, 被认为是调和分析即现代Fourier分析发展的一个崭新阶段。众多高新技术以数学为基础,而小波分析被誉为“数学显微镜”,这就决定了它在高科技研究领域重要的地位。目前, 它在模式识别、图像处理、语音处理、故障诊断、地球物理勘探、分形理论、空气动力学与流体力学上的应用都得到了广泛深入的研究,甚至在金融、证券、股票等社会科学方面都有小波分析的应用研究-Wavelet analysis was born in the 1980s, is considered the modern harmonic analysis and Fourier analysis is the development of a new phase. Mathematical basis of many high-tech, and wavelet analysis as the " mathematical microscope" , which determines its high-tech research in an important position. Currently, it is pattern recognition, image processing, speech processing, fault diagnosis, geophysical exploration, fractal theory, aerodynamics and fluid mechanics have been applied on extensive research, even in the financial, securities, stocks and other social sciences aspects of the application of wavelet analysis Platform: |
Size: 51506176 |
Author:zhouxiaolin |
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Description: Wavelets using SAS (Windows):
Wavelets are a versatile tool for understanding and analyzing data, with important applications in nonparametric modeling, pattern recognition, feature identification, data compression, and image analysis. Wavelets provide a description of your data that localizes information at a range of scales and positions.
Platform: |
Size: 3072 |
Author:jpsartre |
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Search - wavelet for recognition image