Description: 这不是一个标准MATLAB的函数
H = hpfilter （类型，男，氮， D0 ， n ）的创建传递函数的高通滤波器，氢，指定的类型和大小MxN 。可能的值类型， D0和N是： 理想 理想高通滤波器的截止频率D0 。 Ifsupplied ， n是被忽略。 btw 巴特沃思高通滤波器
n阶和截止D0 。
gaussn 高斯高通滤波器的截止（标准偏差） D0 。
如果提供，正被忽略。 M和N应该是偶数的密度泛函过滤。-THIS IS NOT A STANDARD MATLAB FUNCTION
H = hpfilter (type,M,N,D0,n) creates the transfer function of a highpass filter, H, of the specified type and size MxN. Possible values for type, D0, and n are: ideal Ideal highpass filter with cutoff frequency D0. Ifsupplied, n is ignored. btw Butterworth highpass filter
of order n, and cutoff D0.
gaussn Gaussian highpass filter with cutoff (standard deviation)D0.
Platform: |
Size: 1024 |
Author:lql |
Hits:
Description:
Image Processing: Frequency Domain Enhancement
Generate noisy versions of the cameraman image by adding noise with the following characteristics:
Uniform with mean 40 and standard deviation 20
Gaussian of mean 40 and standard deviation 20
Salt and pepper noise density of 10 percent
Filter the resulting noisy images using:
1. Ideal low pass
with the following values of ro: 50, 30, and 20
2. Butterworth filters
with the following values of ro: 50, 30, and 20
3. Gaussian filters
with the following values of sigma: 30, 20, and 10
Show and label the magnitude spectra of your filters for all the above cases
Show noisy and filtered images for all the above cases
-
Image Processing: Frequency Domain Enhancement
Generate noisy versions of the cameraman image by adding noise with the following characteristics:
Uniform with mean 40 and standard deviation 20
Gaussian of mean 40 and standard deviation 20
Salt and pepper noise density of 10 percent
Filter the resulting noisy images using:
1. Ideal low pass
with the following values of ro: 50, 30, and 20
2. Butterworth filters
with the following values of ro: 50, 30, and 20
3. Gaussian filters
with the following values of sigma: 30, 20, and 10
Show and label the magnitude spectra of your filters for all the above cases
Show noisy and filtered images for all the above cases
Platform: |
Size: 5120 |
Author:engineer |
Hits:
Description: 对于磁共振图像，使用高斯滤波器对图像进行滤波，对滤波后的图像进行边缘和图像区域的选取，计算两者的均值和标准差，最后得到新的信噪比值。-For magnetic resonance images, we can use a Gaussian filter to the image for filtering. After the selection of the area of the air and the area of the image,then calculate the mean value and standard deviation value of both. Finally ,we can obtain the conclusion the new SNR value . Platform: |
Size: 1008640 |
Author:lisha |
Hits:
Search - standard deviation for the gaussian filter