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Descr iption: 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. Thu
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频率域熵图，两个窗口，熵的径向和角向分布，便于分析纹理，还有一个自己写的gabor变换，请参考。-Frequency domain entropy map, two windows, the entropy of the radial and angular distribution, to facilitate analysis of texture, there is a transform gabor wrote it myself, please refer to.
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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 improv
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Gabor变换属于加窗傅立叶变换，Gabor函数可以在频域不同尺度、不同方向上提取相关的特征。另外Gabor函数与人眼的生物作用相仿，所以经常用作纹理识别上，并取得了较好的效果。-Gabor transform belongs to the windowed Fourier transform, Gabor function can be in the frequency domain on different scales and different directions extract re
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The real and imaginary components of a complex Gabor filter are phase sensitive,
i.e., as a consequence their response to a sinusoid is another sinusoid (see Figure
1.2). By getting the magnitude of the output (square root of the sum of squared
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Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system,
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The File Contains 5 Other Source Codes include, bandpass Butterworth Filter, Gabor Bank, RGB to HLS Conversion, Image Filtering in Frequency Domain and Hough transform.
I hope that s enough to make me a member.
Regards.
Zizi.
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Gabor变换属于加窗傅立叶变换，Gabor函数可以在频域不同尺度、不同方向上提取相关的特征。另外Gabor函数与人眼的生物作用相仿，所以经常用作纹理识别上，并取得了较好的效果。-Gabor transform is windowed Fourier transform, Gabor functions in the frequency domain at different scales and different directions to extract relevant features
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基于opencv1.0实现的二维Gabor滤波器， Gabor变换属于加窗傅立叶变换，Gabor函数可以在频域不同尺度、不同方向上提取相关的特征。另外Gabor函数与人眼的生物作用相仿，所以经常用作纹理识别上，并取得了较好的效果。-Based on two-dimensional Gabor filter realization opencv1.0, Gabor transform is windowed Fourier transform, Gabor functions in the fr
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Gabor变换可以达到时频局部化的目的：它能够在整体上提供信号的全部信息而又能提供在任一局部时间内信号变化剧烈程度的信息。简言之，可以同时提供时域和频域局部化的信息。-Frequency localized Gabor transform can achieve the purpose: it can provide all the information of the signal on the whole and they can provide the intensity of the s
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Gabor变换在频域不同尺度、不同方向上提取相关的特征-Gabor transform in the frequency domain different scales and directions extract relevant features
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Gabor滤波器的原理是 其脉冲响应为一个谐波函数（即下式中的余弦函数）和一个高斯函数的乘积。根据信号与系统理论，时频域的卷积和乘积互为傅里叶变换。Gabor滤波器的傅里叶变换为谐波和高斯函数各自傅里叶变换的卷积-The principle of the Gabor filter is a harmonic of its impulse response function (i.e., the cosine function in the formula) and the product of
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This work addresses the analysis of families of sound signals through linear transformations that map signals to each other. These transformations are modeled as Gabor multipliers, which are defined by point wise multiplication with a given transfer
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二维Gabor小波变换是在时频域进行信号分析处理的重要工具，其变换系数有着良好的视觉特性和生物学背景，因此被广泛应用于图像处理、模式识别等领域-An important tool for two-dimensional Gabor wavelet transform is a time-frequency domain signal analysis and processing, the conversion coefficient has a good visual properties a
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利用MATLAB编程实现具有多种方向和频率选择性的Gabor滤波器，绘制一维、二维、三维空域和频域图形，讨论Gabor滤波器在方向和频率上的选择特性。-Using MATLAB programming with multiple direction and frequency selective Gabor filter, draw a d, 2 d, 3 d graphics, airspace and frequency domain to discuss Gabor filter on t
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he Gabor expansion, which maps the time domain signal into the joint time and frequency domain, has long been recognized as a very useful tool in signal processing. Its applications, however, were limited due to the difficulties associated with selec
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模拟数据分析处理的过程，详细画出了时域和频域的相关图，Gabor小波变换与PCA的人脸识别代码。- Analog data analysis processing, Correlation diagram shown in detail the time domain and frequency domain, Gabor wavelet transform and PCA face recognition code.
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意信号卷积的运算,并且绘制图象，分析了该信号的时域、频域、倒谱，循环谱等,Gabor小波变换与PCA的人脸识别代码。- Convolution operation is intended to signal and image rendering, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Gabor wavelet transform and PCA face re
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傅里叶变换是一种信号处理中的有力工具，可以帮助我们将图像从空域转换到频域，并提取到空域上不易提取的特征。但是经过傅里叶变换后，图像在不同位置的频度特征往往混合在一起，但是Gabor滤波器却可以抽取空间局部频度特征，是一种有效的纹理检测工具(Fu Liye transform is a powerful tool in signal processing, which helps us transform images from airspace to frequency domain and e
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对地震数据进行gabor域的反褶积，提高地震数据的主频，进而提高地震分辨率(Deconvolution of seismic data in Gabor domain can improve the main frequency of seismic data and the seismic resolution.)
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