Applying Function to Structure
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itend
am 21 Aug. 2017
Kommentiert: itend
am 22 Aug. 2017
Currently, here is my code:
% Specify the folder where the files live.
myFolder = 'C:\Users\Irwin\Desktop\Matlab\Scintillator_project\advanced';
% Check to make sure that folder actually exists. Warn user if it doesn't.
if ~isdir(myFolder)
errorMessage = sprintf('Error: The following folder does not exist:\n%s',
myFolder);
uiwait(warndlg(errorMessage));
return;
end
% Get a list of all files in the folder with the desired file name pattern.
filePattern = fullfile(myFolder, '*.spe');
theFiles = dir(filePattern);
for k = 1 : length(theFiles)
baseFileName = theFiles(k).name;
fullFileName = fullfile(myFolder, baseFileName);
fprintf(1, 'Now reading %s\n', fullFileName);
end
I currently have a structure in which each entry contains a .spe file. I would like to apply the function readSPE https://www.mathworks.com/matlabcentral/fileexchange/35940-readspe to each entry in the structure to convert them from .spe format to a 3D array.
Please help!
Thanks :)
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Akzeptierte Antwort
Walter Roberson
am 21 Aug. 2017
Bearbeitet: Jan
am 21 Aug. 2017
In terms of your existing code, you would just add a readSPE(fullFileName) after your fprintf().
If you want to use more compact code then
filePattern = fullfile(myFolder, '*.spe');
dinfo = dir(filePattern);
filenames = fullfile(myFolder, {dinfo.name});
output = arrayfun(@readSPE, filenames, 'uniform', 0);
6 Kommentare
Walter Roberson
am 22 Aug. 2017
filt_order = 3;
% Get a list of all files in the folder with the desired file name pattern.
filePattern = fullfile(myFolder, '*.spe'); % Change to whatever pattern you need.
theFiles = dir(filePattern);
num_files = length(theFiles);
filt_results = cell(num_files, 1);
for k = 1 : num_files
baseFileName = theFiles(k).name;
fullFileName = fullfile(myFolder, baseFileName);
fprintf(1, 'Now reading %s\n', fullFileName);
this_spe = readSPE(fullFileName);
filt_result{k} = medfilt1(this_spe, filt_order, 3);
end
You cannot use imagesc or anything similar to create images from them. The result of median filtering is going to be 3 dimensional if the input is 3 dimensional. You need to decide how you want to create the images of the 3D arrays:
- as iso surfaces using isosurface()
- as slices, using slice()
- using the R2017a voxelViewer() app
- as animation
- as voxels, using some other routine
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