Description: Description: Recent studies on Mathematical modeling of visual cortical cells [Kulikowski/Marcelja/Bishop:1982] suggest a tuned band pass filter bank structure. These filters are found to have Gaussian transfer functions in the frequency domain. Thus, taking the Inverse Fourier Transform of this transfer function we get a filter characteristics closely resembling to the Gabor filters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes respectively) modulated by a complex sinusoid (with centre frequencies U and V along x and y-axes respectively). Platform: |
Size: 2387 |
Author:gz |
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Description: Garbor filter is famous for its approximation to the characteristic of Cortex in
human vision system. The state-of-the-arts advancement in computer vision application
demonstrates the success and promissing of this technique.
This directory contains the codes for Gabor filtering and texture feature extraction.
The strategy of constructing the Gabor filter bank is based on the accompanied paper
included in the subdirectory. Platform: |
Size: 966243 |
Author:杨愚根 |
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Description: Description: Recent studies on Mathematical modeling of visual cortical cells [Kulikowski/Marcelja/Bishop:1982] suggest a tuned band pass filter bank structure. These filters are found to have Gaussian transfer functions in the frequency domain. Thus, taking the Inverse Fourier Transform of this transfer function we get a filter characteristics closely resembling to the Gabor filters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes respectively) modulated by a complex sinusoid (with centre frequencies U and V along x and y-axes respectively). Platform: |
Size: 2048 |
Author:gz |
Hits:
Description: Garbor filter is famous for its approximation to the characteristic of Cortex in
human vision system. The state-of-the-arts advancement in computer vision application
demonstrates the success and promissing of this technique.
This directory contains the codes for Gabor filtering and texture feature extraction.
The strategy of constructing the Gabor filter bank is based on the accompanied paper
included in the subdirectory.-Garbor filter is famous for its approximation to the characteristic of Cortex in human vision system. The state-of-the-arts advancement in computer vision applicationdemonstrates the success and promissing of this technique.This directory contains the codes for Gabor filtering and texture feature extraction . The strategy of constructing the Gabor filter bank is based on the accompanied paperincluded in the subdirectory. Platform: |
Size: 966656 |
Author:杨愚根 |
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Description: 一个基于Gabor滤波器组的多特征融合的图像检索算法(CBIR based on Multi-Features Combining Multi-parameters from Gabor Filter-bank, 简称multi法),融合了基于Gabor 小波系数的标准方差,峰态,能量,平滑度和一致性度量五个特征量度,实验表明,该算法是一种更加有效的图像检索方法。-we propose a CBIR algorithm based on Multi-Features Combining Multi-parameters from Gabor Filter-bank(called multi algorithm for short), which use Gabor filter banks and combine five features including standard deviation, kurtosis, energy, smoothness and uniformity together. The results of experiments show that this algorithm is a more effective method used for image retrieval. Platform: |
Size: 2048 |
Author:super |
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Description: proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details
in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean
distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a
verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms
published in the open literature-proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details
in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean
distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a
verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms
published in the open literature Platform: |
Size: 6144 |
Author:Ash_rulerz |
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Description: COSFIRE是一个有效的滤波器,它可以自动的为图像画出轮廓,可以配置出gabor滤波器,配置一定的模糊参数和移位参数-A COSFIRE filter is automatically configured to be selective for a local contour pattern specified by a single example. The configuration comprises selecting given channels of a bank of Gabor filters and determining certain blur and shift parameters. Gabor filters are, however, not intrinsic to the method and nay other orientation-selective filters can be used. A COSFIRE filter response is computed as the weighted geometric mean of the blurred and shifted responses of the selected Gabor filters. It shares similar properties with some shape-selective neurons in visual cortex, which provided inspiration for this work. Platform: |
Size: 97280 |
Author:高伟哲 |
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Description: 图像处理领域有很多滤波器,好的滤波器可以很快的提取有效的特征,MR8是一组特别好的滤波器组,比gabor filter更好,这里是MR8的源码,有需要的可以下载一用!-There are a lot of image processing filter, a good filter can quickly extract effective feature, MR8 is a particularly good filter group, better than gabor filter, here is MR8 source, there is a need to download a use! Platform: |
Size: 457728 |
Author:石华杰 |
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Description: 构造gabor滤波器组,可以显示gabor核图像,对图片进行滤波,提取特征(construct a bank of gabor,show the kernel images of gabor and filter an image ,extract feature) Platform: |
Size: 3443712 |
Author:小蘑菇蘑菇21
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Description: PIVlab - 时间分辨粒子图像测速(PIV)工具:
一种基于GUI的工具,用于预处理,分析,验证,后处理,可视化和模拟PIV数据。
使用MATLAB网络研讨会进行人脸识别代码:
使用MATLAB在线讲座的人脸识别中的主要演示文件。
Gabor特征提取:
该程序生成一个自定义Gabor滤波器组; 并使用它们提取图像特征。
主成分分析:
用于特征提取;
链码:
基于MATLAB的freeman的曲面轮廓描述(PIVlab - time resolved particle image velocimetry (PIV) tool:
A GUI based tool for preprocessing, analysis, validation, post processing, visualization, and Simulation of PIV data.
Using MATLAB webinar for face recognition code:
The main demo file is used in MATLAB online lectures for face recognition.
Gabor feature extraction:
The program generates a custom Gabor filter bank and uses them to extract image features.
Principal component analysis:
For feature extraction;
Chain code:
Surface contour description of Freeman based on MATLAB) Platform: |
Size: 8155136 |
Author:long1219
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