looping across different mat file names

I have six mat files with different names. I want to load them and perform image processing opeations and store the result in table.

I wrote this code for two of them. How can I load them and work on them using loop. the method I am using now loads the file but either in structure or cell array

clc;
clear ;
close all;
%load the data cropped
load('APP1.mat');load('WT1.mat');
% define the edges and the bin size and plot the histogram
edges=(20000:1000:50000);
APP1=nonzeros(double(APP1(:)));
WT1=nonzeros(double(WT1(:)));
histogram(APP1(:),'Binwidth',50,'BinEdges',edges,'FaceAlpha',.3);
hold on
histogram(WT1(:),'Binwidth',50,'BinEdges',edges,'FaceAlpha',.3);
legend('APP1','WT1')
%%
[pixelCounts1, Binedges1] = histcounts(APP1(:),'Binwidth',50,'BinEdges',edges);% bin edges range from 20000 to 50000 and the spacing of 1000
[pixelCounts2, Binedges2] = histcounts(WT1(:),'Binwidth',50,'BinEdges',edges);

%%
centers1 = Binedges1(1:end-1) + diff(Binedges1) / 2; % to reach the centers of the bin because histogram with 3 bins will have four edges abd that is why you will get an array of one size more than the pixel counts
centers2 = Binedges2(1:end-1) + diff(Binedges2) / 2;

figure;plot(centers1,pixelCounts1,centers2,pixelCounts2)
legend('APP1','WT1')
%% Get the number of pixels in the histogram.
numberOfPixels1 = sum(pixelCounts1);
numberOfPixels2 = sum(pixelCounts2);

%%
meanAPP1 = sum(centers1 .* pixelCounts1)/ numberOfPixels1;
meanWT1 = sum(centers2 .* pixelCounts2)/ numberOfPixels2;

%% Get the variance, 
varianceAPP1 = sum((centers1 - meanAPP1) .^ 2 .* pixelCounts1) / (numberOfPixels1-1);
varianceWT1 = sum((centers2 - meanWT1) .^ 2 .* pixelCounts2) / (numberOfPixels2-1);
% Get the standard deviation.
stdDevAPP1 = sqrt(varianceAPP1);

stdDevWT1 = sqrt(varianceWT1);

%  % Get the skew.The formula given in most textbooks is Skew = 3 * (Mean – Median) / Standard Deviation.
skewAPP1 = sum((centers1 - meanAPP1) .^ 3 .* pixelCounts1) / ((numberOfPixels1 - 1) * stdDevAPP1^3);

skewWT1 = sum((centers2 - meanWT1) .^ 3 .* pixelCounts2) / ((numberOfPixels2 - 1) * stdDevWT1^3);

% % Get the kurtosis. Kurtosis = Fourth Moment / Second Moment2
kurtosisAPP1 = sum((centers1 - meanAPP1) .^ 4 .* pixelCounts1) / ((numberOfPixels1 - 1) * stdDevAPP1^4);
kurtosisWT1 = sum((centers2 - meanWT1) .^ 4.* pixelCounts2) / ((numberOfPixels2 - 1) * stdDevWT1^4);


Fishtype={'APP1','WT1'}';
Means = [meanAPP1,meanWT1]';
Variance=[varianceAPP1,varianceWT1]';
standard_deviation =[stdDevAPP1,stdDevWT1]';

Skewness_1=[skewAPP1,skewWT1]';


Kurtosis_1= [kurtosisAPP1,kurtosisWT1 ]';

T=table(Fishtype,Means,Variance,standard_deviation,Skewness_1,Kurtosis_1);

Answer 1

[Image Analyst]

Are there only the 6 .mat files that you need in the folder, and no others? Or else do you have some way to specify only the 6 that you need?

Have you seen the FAQ:

https://matlab.fandom.com/wiki/FAQ#How_can_I_process_a_sequence_of_files.3F

[Rimple Poonia Dabas]

For now I only have 6.mat files in the folder. These are cropped images data for analysis I am doing to differenciate between two groups based on histogram analysis. I have taken help from your imagecapturemoments demonstration. They are named based on the groups.

Here I am trying to do on one group but I am having trouble doing it for all the three from this group.

clc;

clear ;

close all;

n=3;

for j=1:n

temp=load(sprintf('APP%d.mat',j));

image(j)= struct2cell((temp));

data=image{1,j};

newdata = nonzeros(double(data(:)));

edges=(20000:1000:50000);

histogram(newdata(:),'Binwidth',50,'BinEdges',edges,'FaceAlpha',.3);

[pixelCounts1, Binedges1] = histcounts(newdata(:),'Binwidth',50,'BinEdges',edges);

centers1 = Binedges1(1:end-1) + diff(Binedges1) / 2;

numberOfPixels1 = sum(pixelCounts1);

meanAPP1 = sum(centers1 .* pixelCounts1)/ numberOfPixels1;

varianceAPP1 = sum((centers1 - meanAPP1) .^ 2 .* pixelCounts1) / (numberOfPixels1-1);

stdDevAPP1 = sqrt(varianceAPP1);

skewAPP1 = sum((centers1 - meanAPP1) .^ 3 .* pixelCounts1) / ((numberOfPixels1 - 1) * stdDevAPP1^3);

kurtosisAPP1 = sum((centers1 - meanAPP1) .^ 4 .* pixelCounts1) / ((numberOfPixels1 - 1) * stdDevAPP1^4);

end

[Image Analyst]

You need to index your variables and then use (:) when you use them to build a table. For example

stdDevAPP1(j) = sqrt(varianceAPP1);

then, after the loop

T = table(Fishtype(:), Means(:), Variance(:), standard_deviation(:), Skewness_1(:), Kurtosis_1(:), ...
    'VariableNames', {'FishType', 'Mean', 'Variance', 'StDev', 'Skewness', 'Kurtosis', });

Attach your 6 mat files if you need more help.