MATLAB: I have found the GLCM properties like Energy, Contrast, Corellation for a segmented image. How can i find the mean of those properties(say contrast.(1x8double values… ) so that i can compare it with other values??Can u please suggest me the steps

glcm _propertiesImage Processing Toolbox

 stats = graycoprops(glcm,{'contrast','homogeneity','Correlation','Energy'});

and in the output i get….

stats =

       Contrast: [0.3105 0.4868 0.3727 0.4868 0.3727 0.5002 0.3105 0.4868]
    Correlation: [0.8549 0.7723 0.8254 0.7723 0.8254 0.7661 0.8549 0.7723]
         Energy: [0.8560 0.8477 0.8530 0.8477 0.8530 0.8472 0.8560 0.8477]
    Homogeneity: [0.9793 0.9690 0.9758 0.9690 0.9758 0.9682 0.9793 0.9690]

Best Answer

meanContrast = mean([stats.Contrast]);

Is that what you mean?

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MATLAB: Fourier analysis of waveforms and clipping wave, HELP PLEASE!!!

I'm not sure how you are using the term "period" here. If you are talking about only the first 1 of the fundamental frequency which is 1 MHz here, then I think you want at least a few periods to do a spectral analysis even with a clean waveform. The resolution in the DFT (implemented by fft) depends on the number of samples. The more samples, the better the resolution.

In your case, it's easy to see that

xnew = x(1:2800);

gives you the initial waveform, so why not use this?

     Fs = 1/1e-8;
     d = fdesign.lowpass('Fp,Fst,Ap,Ast',1.2e6,1.4e6,0.5,60,Fs);
     Hd = design(d,'butter');
     xnew = x(1:2800);
     y = filter(Hd,detrend(xnew,0));
     ydft = fft(y);
     freq = 0:Fs/length(y):Fs/2;
     ydft = ydft(1:floor(length(y)/2)+1);
     % Plot in MHz
     plot(freq./1e6,abs(ydft))
     axis([0 10 0 max(abs(ydft))+20])
     xlabel('MHz'); ylabel('Magnitude');

If you copy and paste the above code, it works fine.

MATLAB: Could anyone help me how to select four maximum values of each row in a matrix size(10,8)

You can do it in multiple ways, let’s consider, the mat1 is matrix having size 10x8

sort_mat=sort(mat1);
result=sort_mat(7:end,:);

Another way as per @madhan ravi comment

sort_mat=sort(mat1,'descend');
result=sort_mat(1:4,:)

See example

>> mat1=rand(10,8)
mat1 =
    0.2599    0.5499    0.1839    0.3692    0.5752    0.6477    0.7802    0.8176
    0.8001    0.1450    0.2400    0.1112    0.0598    0.4509    0.0811    0.7948
    0.4314    0.8530    0.4173    0.7803    0.2348    0.5470    0.9294    0.6443
    0.9106    0.6221    0.0497    0.3897    0.3532    0.2963    0.7757    0.3786
    0.1818    0.3510    0.9027    0.2417    0.8212    0.7447    0.4868    0.8116
    0.2638    0.5132    0.9448    0.4039    0.0154    0.1890    0.4359    0.5328
    0.1455    0.4018    0.4909    0.0965    0.0430    0.6868    0.4468    0.3507
    0.1361    0.0760    0.4893    0.1320    0.1690    0.1835    0.3063    0.9390
    0.8693    0.2399    0.3377    0.9421    0.6491    0.3685    0.5085    0.8759
    0.5797    0.1233    0.9001    0.9561    0.7317    0.6256    0.5108    0.5502
>> sort_mat=sort(mat1)
sort_mat =
    0.1361    0.0760    0.0497    0.0965    0.0154    0.1835    0.0811    0.3507
    0.1455    0.1233    0.1839    0.1112    0.0430    0.1890    0.3063    0.3786
    0.1818    0.1450    0.2400    0.1320    0.0598    0.2963    0.4359    0.5328
    0.2599    0.2399    0.3377    0.2417    0.1690    0.3685    0.4468    0.5502
    0.2638    0.3510    0.4173    0.3692    0.2348    0.4509    0.4868    0.6443
    0.4314    0.4018    0.4893    0.3897    0.3532    0.5470    0.5085    0.7948
    0.5797    0.5132    0.4909    0.4039    0.5752    0.6256    0.5108    0.8116
    0.8001    0.5499    0.9001    0.7803    0.6491    0.6477    0.7757    0.8176
    0.8693    0.6221    0.9027    0.9421    0.7317    0.6868    0.7802    0.8759
    0.9106    0.8530    0.9448    0.9561    0.8212    0.7447    0.9294    0.9390
>> resul1=sort_mat(7:10,:)
resul1 =
    0.5797    0.5132    0.4909    0.4039    0.5752    0.6256    0.5108    0.8116
    0.8001    0.5499    0.9001    0.7803    0.6491    0.6477    0.7757    0.8176
    0.8693    0.6221    0.9027    0.9421    0.7317    0.6868    0.7802    0.8759
    0.9106    0.8530    0.9448    0.9561    0.8212    0.7447    0.9294    0.9390
>>

Best Answer

Related Solutions

MATLAB: Fourier analysis of waveforms and clipping wave, HELP PLEASE!!!

MATLAB: Could anyone help me how to select four maximum values of each row in a matrix size(10,8)

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