Error using imgaussfilt Expected A to be real.

10 次查看（过去 30 天）
Gulfam Saju
Gulfam Saju 2022-3-31
回答： Paras Gupta 2023-9-22
%demo
clear all;
CoilNum = 12;
load slice66.mat;
for s = 1 : CoilNum
Img(:,:,s) = ifft2(raw_data(:,:,s));
end
image1= Img;
load slice94.mat;
for s = 1 : CoilNum
Img2(:,:,s) = ifft2(raw_data(:,:,s));
end
image2= Img2;
psnr_=getPSNR(image1,image2);
ssim_=getMSSIM(image1,image2);
fprintf('PSNR= %f - SSIM= %f\n',psnr_,ssim_);
While I run this code, I get this error.
Error using imgaussfilt
Expected A to be real.
Error in imgaussfilt>parseInputs (line 398)
validateattributes(A, supportedClasses, supportedImageAttributes, mfilename, 'A');
Error in imgaussfilt (line 121)
[A, options] = parseInputs(args{:});
Error in getMSSIM (line 16)
mu1=imgaussfilt(frameReference,1.5);
Error in demo (line 16)
ssim_=getMSSIM(image1,image2);

请先登录，再回答此问题。

回答（1 个）

Paras Gupta
Paras Gupta 2023-9-22
Hi Gulfam,
I understand that you are getting an error while using the “imgaussfilt” function in MATLAB.
The error message in the question indicates that the “imgaussfilt” function expects the input image A to be real, but it seems to be receiving a complex-valued image.
The potential reason for this issue is the use of “ifft2” function on the variable “raw_data” for each of the slices. Fourier transform operates in the frequency domain, where the data can have both real and imaginary components. When performing an inverse Fourier transform using “ifft2” function in MATLAB, the resulting image may be complex-valued. This can happen in the following cases:
  • If the input is complex-valued
  • If the input data is not symmetric or centered
  • Even when the input data is real-valued, the output may have small imaginary components that are close to zero due to numerical precision limitations.
To resolve this issue, you can use the ‘real’ function in MATLAB to extract the real part of the complex valued images before passing them to the “getMSSIM” function.
image1 = real(Img); % Convert to real-valued image
image2 = real(Img2); % Convert to real-valued image
psnr_=getPSNR(image1,image2);
ssim_=getMSSIM(image1,image2);
fprintf('PSNR= %f - SSIM= %f\n',psnr_,ssim_);
Please refer to the following documentations for more information:
Hope this helps.

类别

在 Help Center 和 File Exchange 中查找有关 Image Filtering 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by