How do i store all the results from a set of 'for' loops, not just the results from the last iteration?

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Steven Harkness 2020-4-16

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https://ww2.mathworks.cn/matlabcentral/answers/518523-how-do-i-store-all-the-results-from-a-set-of-for-loops-not-just-the-results-from-the-last-iterati

评论： Steven Harkness 2020-4-17

When i run my script each time my for loop runs it overwrites the results of the previous itteration, is there a way to have it store all the results from each iteration? Here is the code in question.

clear
img = imread('cameraman.tif');
for Mean = 0.01:0.01:0.1
V=0.01;
noise = imnoise(img,'gaussian',Mean,V);
NoisePower = V*numel(img);
NPowerInt = fix(NoisePower);
[peaksnr, snr] = psnr(noise,img);
nsr = 1/snr;
    for hsize = 3:1:26
        for sigma = 0.5:0.5:5
            
PSF = fspecial('gaussian',hsize,sigma);
NoiseyBlurred = imfilter(noise,PSF,'replicate','same','conv');
BlindDeconv = deconvblind(NoiseyBlurred,PSF,15);
LucyFilter = deconvlucy(NoiseyBlurred,PSF,15);
WNRFilter = deconvwnr(NoiseyBlurred,PSF,nsr);
RegularFilter = deconvreg(NoiseyBlurred,PSF,snr);
PSNRBlurred = psnr(NoiseyBlurred,img);
PSNRBlind = psnr(BlindDeconv,img);
PSNRLucy = psnr(LucyFilter,img);
PSNRWNR = psnr(WNRFilter,img);
PSNRReg = psnr(RegularFilter,img);
Blur(hsize)= (40-PSNRBlurred)/40;
Blind(hsize)=PSNRBlind;
Lucy(hsize)=PSNRLucy;
WNR(hsize)=PSNRWNR;
Reg(hsize)=PSNRReg;
        end
    end
end

I can't store the data based off 'Mean' instead of hsize as it gives the error Subscript indices must either be real positive integers or logicals. I've tried having the hsize loop first but this just saves the results from the final sigma and Mean values at each hsize value. I have also tried creating a logical from the Mean to store the results but this didn't work either. I'm out of ideas, so any help would be greatly appreciated.

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Answer 1

MaryD 2020-4-16

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/518523-how-do-i-store-all-the-results-from-a-set-of-for-loops-not-just-the-results-from-the-last-iterati#answer_426500

在 MATLAB Online 中打开

 Mean = 0.01:0.01:0.1
 hsize = 3:1:26
 sigma = 0.5:0.5:5
 for m=1:length(Mean)
     for h=1:length(hsize)
         for s=1:length(sigma)
     
V=0.01;
noise(m) = imnoise(img,'gaussian',Mean(m),V);
%%%rest of the code
Blur(m,h,s)=...
        end
    end
 end