MATLAB: How i can remove the for statement from this program

image processingimage segmentation

The basic idea is to divide an image into non-overlapping blocks and then convert each Block to column vector to become a column in the resulting matrix
The problem is:
1 - When you change the size of the block gives an error.
2 - Is it possible to replace loop statements with other statements which can reduce the overhead computation in program.
*********
   clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
workspace;  % Make sure the workspace panel is showing.
fontSize = 20;
% Read the image from disk.
m = imread('cameraman.tif');
[rows columns ] = size(m);
%prompt the user to input the size of rows & colums in block
prompt = {'Enter block row size:','Enter block column size:'};
dlg_title = 'Input size of the block';
num_lines = 1;
def = {'8','8'};
answer = inputdlg(prompt,dlg_title,num_lines,def);
[val status] = str2num(answer{1}); 
%assign the user values to another variables
blockrow=val;
blockcolumn=val;
wholeBlockRows = floor(rows / blockrow);
blockVectorR = [blockrow * ones(1, wholeBlockRows), rem(rows, blockrow)];
wholeBlockCols = floor(columns / blockcolumn);
blockVectorC = [blockcolumn * ones(1, wholeBlockCols), rem(columns, blockcolumn)];
%convert the image into blocks
mCell = mat2cell(m, blockVectorR, blockVectorC);%now mCell contain all blocks
%convert each block to column vector then put the column vector as a column in new matrix n
t=1;
for i=1:rows/blockrow
    for j=1:rows/blockrow
        thisBlock = mCell{i,j};
        columnVector = thisBlock(:);
        n(:,t)=columnVector;
        t=t+1;
    end
end

Best Answer

you should initialize your n matrix to perform the assignment.

Related Solutions

MATLAB: How to divide an image into non-overlapping blocks size 4×4

Anisa: Regarding your latest edit. If you want to do it that way, then you don't need the innermost two loops. Simply do it like this:

I=imread('lena.bmp');
c = mat2cell(I, [32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32], ...
  [32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32]);
minOfBlocks=zeros(16,16);
subplot(1,2,1);
imshow(I);
title('Original Image', 'FontSize', 30);
for i=1:16
  for j=1:16
    a = c{i,j};
    minOfBlocks(i,j)=min(a(:));
  end
end
subplot(1,2, 2);
imshow(minOfBlocks, []);
title('Min of 32x32 Blocks', 'FontSize', 30);

MATLAB: Request the code of block permutation algorithm on picture in matlab,please help me.

For what it's worth, here's a demo I have that splits an image up into blocks. We don't know what your algorithm is but maybe you can use randperm like Walter suggested, or some other randomization scheme to scramble these blocks and stitch them together again.

% Demo to divide a color image up into blocks.
clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
workspace;  % Make sure the workspace panel is showing.
fontSize = 20;
% Read in a standard MATLAB color demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
baseFileName = 'peppers.png';
fullFileName = fullfile(folder, baseFileName);
% Get the full filename, with path prepended.

fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
  % Didn't find it there.  Check the search path for it.

  fullFileName = baseFileName; % No path this time.

  if ~exist(fullFileName, 'file')
    % Still didn't find it.  Alert user.

    errorMessage = sprintf('Error: %s does not exist.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
% Read the image from disk.
rgbImage = imread(fullFileName);
% Test code if you want to try it with a gray scale image.
% Uncomment line below if you want to see how it works with a gray scale image.
% rgbImage = rgb2gray(rgbImage);
% Display image full screen.
imshow(rgbImage);
% Enlarge figure to full screen.

set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
drawnow;
% Get the dimensions of the image.  numberOfColorBands should be = 3.
[rows columns numberOfColorBands] = size(rgbImage)
%==========================================================================
% The first way to divide an image up into blocks is by using mat2cell().
blockSizeR = 150; % Rows in block.

blockSizeC = 100; % Columns in block.

% Figure out the size of each block in rows. 
% Most will be blockSizeR but there may be a remainder amount of less than that.
wholeBlockRows = floor(rows / blockSizeR);
blockVectorR = [blockSizeR * ones(1, wholeBlockRows), rem(rows, blockSizeR)];
% Figure out the size of each block in columns. 
wholeBlockCols = floor(columns / blockSizeC);
blockVectorC = [blockSizeC * ones(1, wholeBlockCols), rem(columns, blockSizeC)];
% Create the cell array, ca.  
% Each cell (except for the remainder cells at the end of the image)
% in the array contains a blockSizeR by blockSizeC by 3 color array.
% This line is where the image is actually divided up into blocks.
if numberOfColorBands > 1
  % It's a color image.
  ca = mat2cell(rgbImage, blockVectorR, blockVectorC, numberOfColorBands);
else
  ca = mat2cell(rgbImage, blockVectorR, blockVectorC);
end
% Now display all the blocks.
plotIndex = 1;
numPlotsR = size(ca, 1);
numPlotsC = size(ca, 2);
for r = 1 : numPlotsR
  for c = 1 : numPlotsC
    fprintf('plotindex = %d,   c=%d, r=%d\n', plotIndex, c, r);
    % Specify the location for display of the image.

    subplot(numPlotsR, numPlotsC, plotIndex);
    % Extract the numerical array out of the cell
    % just for tutorial purposes.
    rgbBlock = ca{r,c};
    imshow(rgbBlock); % Could call imshow(ca{r,c}) if you wanted to.
    [rowsB columnsB numberOfColorBandsB] = size(rgbBlock);
    % Make the caption the block number.

    caption = sprintf('Block #%d of %d\n%d rows by %d columns', ...
      plotIndex, numPlotsR*numPlotsC, rowsB, columnsB);
    title(caption);
    drawnow;
    % Increment the subplot to the next location.
    plotIndex = plotIndex + 1;
  end
end
% Display the original image in the upper left.
subplot(4, 6, 1);
imshow(rgbImage);
title('Original Image');
%==============================================================================
% Another way to split the image up into blocks is to use indexing.
% Read in a standard MATLAB gray scale demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
baseFileName = 'cameraman.tif';
fullFileName = fullfile(folder, baseFileName);
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
  % Didn't find it there.  Check the search path for it.
  fullFileName = baseFileName; % No path this time.
  if ~exist(fullFileName, 'file')
    % Still didn't find it.  Alert user.
    errorMessage = sprintf('Error: %s does not exist.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
grayImage = imread(fullFileName);
% Get the dimensions of the image.  numberOfColorBands should be = 1.
[rows columns numberOfColorBands] = size(grayImage);
% Display the original gray scale image.
figure;
subplot(2, 2, 1);
imshow(grayImage, []);
title('Original Grayscale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Divide the image up into 4 blocks.
% Let's assume we know the block size and that all blocks will be the same size.
blockSizeR = 128; % Rows in block.
blockSizeC = 128; % Columns in block.
% Figure out the size of each block. 
wholeBlockRows = floor(rows / blockSizeR);
wholeBlockCols = floor(columns / blockSizeC);
% Preallocate a 3D image
image3d = zeros(wholeBlockRows, wholeBlockCols, 3);
% Now scan though, getting each block and putting it as a slice of a 3D array.
sliceNumber = 1;
for row = 1 : blockSizeR : rows
  for col = 1 : blockSizeR : columns
    % Let's be a little explicit here in our variables
    % to make it easier to see what's going on.
    row1 = row;
    row2 = row1 + blockSizeR - 1;
    col1 = col;
    col2 = col1 + blockSizeC - 1;
    % Extract out the block into a single subimage.
    oneBlock = grayImage(row1:row2, col1:col2);
    % Specify the location for display of the image.
    subplot(2, 2, sliceNumber);
    imshow(oneBlock);
    % Make the caption the block number.
    caption = sprintf('Block #%d of 4', sliceNumber);
    title(caption);
    drawnow;
    % Assign this slice to the image we just extracted.
    image3D(:, :, sliceNumber) = oneBlock;
    sliceNumber = sliceNumber + 1;
  end
end
% Now image3D is a 3D image where each slice, 
% or plane, is one quadrant of the original 2D image.
msgbox('Done with demo!  Check out the two figures.');

Best Answer

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MATLAB: How to divide an image into non-overlapping blocks size 4×4

MATLAB: Request the code of block permutation algorithm on picture in matlab,please help me.

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