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[2D Graphic] Gabor DL : 1: 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)
Date : 2025-12-13 Size : 1kb User : 赵立桐
[2D Graphic] Gabor-Transform DL : 0: 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
Date : 2025-12-13 Size : 120kb User : 赵
[2D Graphic] pinlv DL : 0: 在具体进行频率域的各种处理滤波的前后,进行了傅立叶变换以及傅立叶反变换.这两个变换的过程就是将空间的信息分解为在频率上的表示,或者将频率上的表示转化为空间上的表示,两种变换是互为逆变换的.正是通过傅立叶正反变换的处理,才使得频率域上的处理可以用于图像的增强-After various processes in a specific frequency domain filter, carried out a Fourier transform and inverse Fourier transform, which is the process of converting two spatial information is represented on the decomposition of the frequency, or frequency conversion means for space indicates, the two are mutually transform inverse transform. precisely by processing the Fourier transform of the pros and cons before making the deal with the frequency domain can be used for image enhancement
Date : 2025-12-13 Size : 92kb User : 江丹丹
[2D Graphic] image-experiment-for-matlab DL : 0: 图像平滑滤波、频域低通滤波、陷波处理、直方图均衡化-Image filtering, frequency domain lowpass filter, notch processing, histogram equalization
Date : 2025-12-13 Size : 1.99mb User : lijianing