Description: 在频域下分析提取纹理特征的代码，希望对大家有用-In the frequency domain analysis of extracted texture features of the code, in the hope that useful Platform: |
Size: 4096 |
Author:yixin |
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Description: 根据图像四个方向的共发矩阵，求取四个灰度共发矩阵的熵，求熵的均值生成特征矩阵，通过聚类分析实现图像的纹理分割。-In accordance with the direction of a total of four images fat matrix, to strike a total of four gray hair matrix entropy, and entropy generation characteristics of the mean matrix, through cluster analysis of the realization of image texture segmentation. Platform: |
Size: 2048 |
Author:杜冰 |
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Description: gaborconvolve.m Code for convolving an image with a bank of log-Gabor filters. A pre-processing step for texture analysis, feature detection and classification Platform: |
Size: 3072 |
Author:wugang |
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Description: 灰度共生矩阵的计算程序，包括子程序，可以用在纹理分析上，还不错-Gray-level co-occurrence matrix calculation procedures, including subroutines, can be used in texture analysis, but also good Platform: |
Size: 1024 |
Author:张 |
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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. -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: 421888 |
Author:ruan |
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Description: 针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提
出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检
测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试,
结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值
-Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching
algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the
expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense
disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the
international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed
algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic
Platform: |
Size: 257024 |
Author:swx |
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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: 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 accurately capture
the edge information which is the most important texture
feature in an image. Recent researches on multi-scale
analysis, especially the curvelet research, provide good
opportunity to extract more accurate texture feature for
image retrieval. Curvelet was originally proposed for
image denoising and has shown promising performance.
In this paper, a new image feature based on curvelet
transform has been proposed. We apply discrete curvelet
transform on texture images and compute the low order
statistics from the transformed images. Images are then
represented using the extracted texture features. Retrieval
results show, it significantly outperforms the widely used
Gabor texture feature. Platform: |
Size: 1426432 |
Author:Swati |
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Description: ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。
基本思想：
在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。
-Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach.
Basic idea:
The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions.
After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour.
Literature:
- Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I Platform: |
Size: 10190848 |
Author:谢冉 |
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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: 基于matlab的人脸识别分析，参考文献为：
[1] X.Tan and B.Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and
Gestures -Matlab-based face recognition analysis, references to: [1] X. Tan and B. Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures Platform: |
Size: 44032 |
Author:透明 |
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Description: 纹理图像分割，小波编码图像的分割和分析的算法描述。该算法的图像处理后的计划，可以成功地恢复在压缩图像模糊文物纹理的部分。-Texture image segmentation, wavelet coding image segmentation and analysis of the algorithm description. The algorithm for image processing program that can successfully restore the image blur artifacts in the compressed part of the texture. Platform: |
Size: 890880 |
Author:安静 |
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Description: The package includes some function to process images in MATLAB platform. It contains gamma correction of an image, it calculates the entropy, it contains a way to find the distance between two histograms and it does texture analysis, from LBP and VAR (local variance) calculations. Platform: |
Size: 10240 |
Author:Luis |
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Description: 包括主成分分析、因子分析、贝叶斯分析，iqyBrgz参数在MATLAB中求图像纹理特征，可以实现模式识别领域的数据的分类及回归，相关分析过程的matlab方法，zZoddEd条件调试通过可以使用，旋转机械二维全息谱计算。- Including principal component analysis, factor analysis, Bayesian analysis, iqyBrgz parameter In the MATLAB image texture feature, You can achieve data classification and regression pattern recognition, Correlation analysis process matlab method, zZoddEd condition Debugging can be used, Rotating machinery 2-d holographic spectrum calculation. Platform: |
Size: 4096 |
Author:fatieg |
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Description: 在matlab环境中自动识别连通区域的大小,vTyVRZS参数计算多重分形非趋势波动分析，在MATLAB中求图像纹理特征，相关分析过程的matlab方法，XopfPTt条件有较好的参考价值，是学习PCA特征提取的很好的学习资料。- Automatic identification in the matlab environment the size of the connected area, vTyVRZS parameter Calculate the multifractal trend fluctuation analysis, In the MATLAB image texture feature, Correlation analysis process matlab method, XopfPTt condition There are good reference value, Is a good learning materials to learn PCA feature extraction. Platform: |
Size: 9216 |
Author:wyuyxd |
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Search - texture analysis in MATLAB