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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).
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Author: gz |
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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).
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Author: gz |
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Description: gaobor滤波工具 先转到频域再转回时域-gaobor filtering tools frequency domain transferred back again at Victoria
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Author: ss |
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Description: 计算Gabor滤波器函数.
Gabor1.m:4个方向的Gabo滤波器模板的图像显示.
Gabor2.m:4个方向的Gabor滤波器对lena进行滤波的顶层调用模块.
gabor.m:绘制一个Gabor滤波器的空域和频域函数图.
compute.m:计算Gabor滤波器函数（要被上面3个模块调用，这3个模块彼此独立）-Gabor filter function calculation. Gabor1.m: 4 directions Gabo filter template image display. Gabor2.m: 4 directions of the Gabor filter for filtering lena call top-level module. Gabor.m: Drawing of a Gabor filter browser s airspace and frequency domain function Fig. compute.m: Calculation of Gabor filter function (to be above three modules call, this three modules independent of each other)
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Author: 赵立桐 |
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Description: 本程序实现了Gabor滤波器的三维显示并对一幅图像通过频域卷积实现了1个尺度6个方向的Gabor滤波显示-This procedure achieved a Gabor filter and a three-dimensional display image through frequency-domain convolution achieved a scale 6 shows the direction of the Gabor filtering
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Author: 朱宇 |
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Description: 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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Author: zhaohaohao |
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Description: 基于纹理谱描述子的图像检索
提出一种新的纹理谱描述子应用于基于内容的图像检索中.讨论了小波变换的思想和纹理谱概念的联
系,根据纹理的视觉特性,提出纹理模式等价类的概念,设计出更合理的纹理谱描述子来描述图像的纹理特征.该纹
理模式刻画了领域内像素灰度变化模式,以纹理谱直方图方式表示图像纹理内容.分析了纹理谱的对称不变性和旋
-This paper presents a new texture spectrum descriptor for content-based image retrieval(CBIR).The
relation between wavelet transition and texture spectrum method is discussed.This paper proposes the concept of
texture pattern equivalent according to texture visual nature to educe more rational texture spectrum descriptor.The
proposed texture patterns depict the variational pattern of pixel gray scales in a domain to descript images texture
feature.It represents image content in the form of texture spectrum histogram.The symmetry invariant and rotation
robusticity are discussed.Comparison with Gabor features using general image dataset indicate that the proposed
texture descriptor takes lower extracting time and provides higher image retrieval accuracy.
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Author: swx |
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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.
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Author: 爱学习 |
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Description: This code is about convolution in gabor domain.
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Author: amir |
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Description: 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 relevant features. Addition Gabor function and the biological role of the human eye is similar, I often used to identify the texture and achieved good results.
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Author: 阿瑟 |
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Description: 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
real and imaginary outputs) we can get a response that phase insensitive and thus
unmodulated positive response to a target sinusoid input (see Figure 1.2). In some
cases it is useful to compute the overall output of the two out of phase filters.
One common way of doing so is to add the squared output (the energy) of each
filter, equivalently we can get the magnitude. This corresponds to the magnitude
(more precisely the squared magnitude) of the complex Gabor filter output. In the
frequency domain, the magnitude of the response to a particular frequency is simply
the magnitude of the complex Fourier transform, i.e.
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Author: cestrada |
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Description: 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, and it has been found to be particularly appropriate for texture representation and discrimination. In the spatial domain, a 2D Gabor filter is a Gaussian kernel function modulated by a sinusoidal plane wave. The Gabor filters are self-similar – all filters can be generated from one mother wavelet by dilation and rotation
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Author: Real1 |
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Description: 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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Author: zizi |
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Description: 利用Gabor滤波器提取图像纹理特征，用于图像分类模式识别-Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV.
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Author: Ethan |
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Description: 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 frequency domain of different scales, different direction extract relevant features. Gabor function and other biological effects similar to the human eye, so often used as a texture on the identification and achieved good results.
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Author: joshua |
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Description: 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 a Gaussian function. According to the theory of signals and systems, time and frequency domain convolution product of the Fourier transform each other. Fourier transform of the Gabor filter and Gaussian function is the harmonic each convolution of the Fourier transform
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Author: 赵 |
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Description: 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 function in the time-frequency (i.e. Gabor) domain. New approaches for the estimation of such transfer functions, based upon regularized variational approaches are developed. The estimated transfer functions can be used for various purposes in signal analysis and processing. This paper describes an application to sound morphing, in which the regularization parameter plays the role of tuning parameter between input and output signals.
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Author: noufan |
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Description: 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 and biological background, it is widely used in image processing, pattern recognition
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Author: 回家哩 |
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Description: 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 extract features that are not easy to extract in airspace. But after Fourier transform, the frequency characteristics of images are mixed in different locations. However, Gabor filters can extract local spatial frequency characteristics, which is an effective texture detection tool.)
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Author: 程序员飞宇 |
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Description: 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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Size: 5120 |
Author: 期年 |
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