Description: 小波变换源代码，用于图像分析，包括图像压缩、纹理分析和识别。-The program illustrates the original code of wavelet transformation, which can be used in image compression, texture analysis and recognization. Platform: |
Size: 23196 |
Author:冯贵玉 |
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Description: 关于gabor小波的特征不变提取，对于人脸识别和纹理分析有很大帮助。-About the gabor wavelet feature the same extract, for face recognition and texture analysis. Platform: |
Size: 173056 |
Author:ps |
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Description: 小波变换源代码，用于图像分析，包括图像压缩、纹理分析和识别。-The program illustrates the original code of wavelet transformation, which can be used in image compression, texture analysis and recognization. Platform: |
Size: 22528 |
Author:冯贵玉 |
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Description: 小波纹理分析软件.可以进行各种小波分析及图像重建-Wavelet texture analysis software. Can be a variety of wavelet analysis and image reconstruction Platform: |
Size: 6583296 |
Author:岳安志 |
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Description: 基于小波分析，使用线性回归模型来进行纹理的识别和分类，是08年IEEE TRANSACTION的经典文献。-Based on wavelet analysis, the use of linear regression model for texture identification and classification, 2008 IEEE TRANSACTION are classic literature. Platform: |
Size: 2147328 |
Author:单昊 |
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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: A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind of texture features, are extracted from three different sizes of Region of Interest (ROI) areas based on the reference point from the enhanced fingerprint image. Each set of invariant moments contain seven invariant moments. Fingerprint verification is realized by Euclidean distance between the two corresponding features of the test fingerprint image and template fingerprint image in the database Platform: |
Size: 276480 |
Author:joyce |
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Description: 一种图像检索中纹理特征提取的方法。本文介绍了基于Gabor 滤波器和Gabor 小波变换提取纹理特征的分析方法, 以及对Gabor 小波进行了高斯归一化以提高对图像检索的速度和准确度。-An image retrieval texture feature extraction methods. This article based on Gabor filters and Gabor wavelet transform to extract texture feature analysis method, as well as Gabor Wavelet Gaussian normalized to enhance the image retrieval speed and accuracy. Platform: |
Size: 51200 |
Author:爱学习 |
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Description: 利用小波分析方法对图像纹理的特征进行分析的程序-Using wavelet analysis of image texture analysis of the characteristics of the procedures Platform: |
Size: 2048 |
Author:刘燕 |
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Description: 在小波
域图像去噪算法中，基于统计模型的去噪算法由于充分利用了已知的先验信息，取得较好的
去噪效果，是近来小波去噪领域研究的热点。本文着重研究小波系数的统计模型，并将其应
用于图像去噪和纹理分析中
-In the wavelet domain image denoising algorithm, de-noising algorithm based on statistical models known as take full advantage of a priori information, to obtain better denoising results of recent research in the field of wavelet denoising hot spots. This article focuses on studies of the statistical model of wavelet coefficients and applied to image denoising and texture analysis Platform: |
Size: 6290432 |
Author:图像 |
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Description: 根据遥感图像纹理所呈现的多尺度特性和随机的特性，采用基于小波域
隐马尔可夫树模型对纹理进行分析，并有机地结合遥感图像的要求和特点进行深入研究。
-According to remote sensing image texture features presented and random multi-scale features, based on wavelet domain hidden Markov tree model for texture analysis, and the opportunity to combine the requirements of remote sensing images and features in-depth study. Platform: |
Size: 20836352 |
Author:江涛 |
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Description: Texture Analysis Using DWT for Grape Plant Species Classification:-
By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency-Texture Analysis Using DWT for Grape Plant Species Classification:-
By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency Platform: |
Size: 169984 |
Author:Ismail Bagalkote |
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Search - wavelet texture analysis