load images and their references

Can anyone help me to plot graph by using grid2image command by loading images and their references with their names from a single mat file with two different variables names. I have attached the code in which mat file is generated

start_path='F:\study\practise\New folder\2015';
topLevelFolder = start_path;
if topLevelFolder == 0
return;
end
filePattern_1 = sprintf('%s/**/HH/', topLevelFolder);
filePattern = sprintf('%s/*.tif', filePattern_1);

    allFileInfo = dir(filePattern);
    isFolder = [allFileInfo.isdir];
    allFileInfo(isFolder) = [];
    listOfFolderNames = unique({allFileInfo.folder});
numberOfFolders = length(listOfFolderNames);
fprintf('The total number of folders to look in is %d.\n', numberOfFolders);
totalNumberOfFiles = length(allFileInfo);
if totalNumberOfFiles >= 1
for k = 1 : totalNumberOfFiles
% Go through all those files.
thisFolder = allFileInfo(k).folder;
thisBaseFileName = allFileInfo(k).name;
fullFileName = fullfile(thisFolder, thisBaseFileName);
% fprintf('     Processing file %d of %d : "%s".\n', k, totalNumberOfFiles, fullFileName);

% To get images and their georeferencing
      [A,R]=geotiffread(fullFileName);
      Y= db2pow(A );
      
      
% %     To apply median filter
     B = medfilt2(Y,[100 100]); 
% 
% To apply block averaging
%    meanFilterFunction = @(theBlockStructure) mean2(theBlockStructure.data(:)) * ones(2,2, class(theBlockStructure.data));
     meanFilterFunction = @(theBlockStructure) mean2(theBlockStructure.data(:));
     blockSize = [12 12];
     blockyImage = blockproc(B, blockSize, meanFilterFunction);
     blockyImage(isnan(blockyImage))=0;
     X= pow2db(blockyImage);
     
    
%   % To save images and their names as a single mat file
     Alpha(k).name=thisBaseFileName;
     Alpha(k).img=X;
    
%      
%    Get lat and lon of blocked images
      R_blocked = R;
      R_blocked.RasterSize = size(X);
      
%       %To save georeferencing of all images as a single mat file
%       R2.name=thisBaseFileName;
     R2(k).name=thisBaseFileName;
     R2(k).Georeferencing=R_blocked;
       save('Preprocessed2015.mat','Alpha', 'R2');
        clear X
      

end
else
end

[Image Analyst]

Can you format your text? Back in MATLAB type control-a (to select all), then control-I (to fix the indenting). Then copy and paste back here so we can read it.

[Nadia jabeen]

Sorry I couldnot understand this.

[Nadia jabeen]

Can anyone help me to plot graph by using grid2image command by loading images and their references with their names from a single mat file with two different variables names. I have attached the code in which mat file is generated

    start_path='F:\study\practise\New folder\2015';
    topLevelFolder = start_path;
    if topLevelFolder == 0
    return;
    end
    filePattern_1 = sprintf('%s/**/HH/', topLevelFolder);
    filePattern = sprintf('%s/*.tif', filePattern_1);
    
        allFileInfo = dir(filePattern);
        isFolder = [allFileInfo.isdir];
        allFileInfo(isFolder) = [];
        listOfFolderNames = unique({allFileInfo.folder});
    numberOfFolders = length(listOfFolderNames);
    fprintf('The total number of folders to look in is %d.\n', numberOfFolders);
    totalNumberOfFiles = length(allFileInfo);
    if totalNumberOfFiles >= 1
    for k = 1 : totalNumberOfFiles
    % Go through all those files.
    thisFolder = allFileInfo(k).folder;
    thisBaseFileName = allFileInfo(k).name;
    fullFileName = fullfile(thisFolder, thisBaseFileName);
    % fprintf('     Processing file %d of %d : "%s".\n', k, totalNumberOfFiles, fullFileName);
    
    % To get images and their georeferencing
          [A,R]=geotiffread(fullFileName);
          Y= db2pow(A );
          
          
    % %     To apply median filter
         B = medfilt2(Y,[100 100]); 
    % 
    % To apply block averaging
    %    meanFilterFunction = @(theBlockStructure) mean2(theBlockStructure.data(:)) * ones(2,2, class(theBlockStructure.data));
         meanFilterFunction = @(theBlockStructure) mean2(theBlockStructure.data(:));
         blockSize = [12 12];
         blockyImage = blockproc(B, blockSize, meanFilterFunction);
         blockyImage(isnan(blockyImage))=0;
         X= pow2db(blockyImage);
         
        
    %   % To save images and their names as a single mat file
         Alpha(k).name=thisBaseFileName;
         Alpha(k).img=X;
        
    %      
    %    Get lat and lon of blocked images
          R_blocked = R;
          R_blocked.RasterSize = size(X);
          
    %       %To save georeferencing of all images as a single mat file
    %       R2.name=thisBaseFileName;
         R2(k).name=thisBaseFileName;
         R2(k).Georeferencing=R_blocked;
           save('Preprocessed2015.mat','Alpha', 'R2');
            clear X
          
    
    end
    else
    end

I have also attached the code to plot a graph.

X = cell2mat(struct2cell(load('F:\study\practise\New folder\2010\script\preprocessed2010.mat', 'Alpha')));
Y= load('F:\study\practise\New folder\2010\script\preprocessed2010.mat', 'R2');
  for k=1:length(X)
% %   
    b=X(k).img;  
    b(b==0)=NaN;
    b (b > -5) = NaN;
   b (b < -32) = NaN;
   
% %   % Get edges
  A = edge(b, 'canny');
  % % % apply morphological function
  BW3 = bwmorph(A,'bridge');
  A3 = bwareaopen(BW3, 100);
   figure, temp1 = grid2image(A3,  R2); title([num2str(k),': ',  Alpha(k).name]);
   end

[Image Analyst]

Look how all your left hand margins are not aligned properly. I did what I said control-a, control-i and pasted back here. Look, doesn't the code below have a better indenting/formatting than what you pasted originally? The left margins now start where they should rather than being a random jumble of starting columns.

start_path='F:\study\practise\New folder\2015';
topLevelFolder = start_path;
if topLevelFolder == 0
	return;
end
filePattern_1 = sprintf('%s/**/HH/', topLevelFolder);
filePattern = sprintf('%s/*.tif', filePattern_1);

allFileInfo = dir(filePattern);
isFolder = [allFileInfo.isdir];
allFileInfo(isFolder) = [];
listOfFolderNames = unique({allFileInfo.folder});
numberOfFolders = length(listOfFolderNames);
fprintf('The total number of folders to look in is %d.\n', numberOfFolders);
totalNumberOfFiles = length(allFileInfo);
if totalNumberOfFiles >= 1
	for k = 1 : totalNumberOfFiles
		% Go through all those files.
		thisFolder = allFileInfo(k).folder;
		thisBaseFileName = allFileInfo(k).name;
		fullFileName = fullfile(thisFolder, thisBaseFileName);
		% fprintf('     Processing file %d of %d : "%s".\n', k, totalNumberOfFiles, fullFileName);
		
		% To get images and their georeferencing
		[A,R]=geotiffread(fullFileName);
		Y= db2pow(A );
		
		
		% %     To apply median filter
		B = medfilt2(Y,[100 100]);
		%
		% To apply block averaging
		%    meanFilterFunction = @(theBlockStructure) mean2(theBlockStructure.data(:)) * ones(2,2, class(theBlockStructure.data));
		meanFilterFunction = @(theBlockStructure) mean2(theBlockStructure.data(:));
		blockSize = [12 12];
		blockyImage = blockproc(B, blockSize, meanFilterFunction);
		blockyImage(isnan(blockyImage))=0;
		X= pow2db(blockyImage);
		
		
		%   % To save images and their names as a single mat file
		Alpha(k).name=thisBaseFileName;
		Alpha(k).img=X;
		
		%
		%    Get lat and lon of blocked images
		R_blocked = R;
		R_blocked.RasterSize = size(X);
		
		%       %To save georeferencing of all images as a single mat file
		%       R2.name=thisBaseFileName;
		R2(k).name=thisBaseFileName;
		R2(k).Georeferencing=R_blocked;
		save('Preprocessed2015.mat','Alpha', 'R2');
		clear X
	end
else
end

[Nadia jabeen]

ok thnx alot to guide me. Now, kindly help me to write code.

[Image Analyst]

I don't have geotiffread(). Is that in the Mapping Toolbox (which I don't have)?