plz help its urgent!!!
MATLAB: How to Divide a cover image(grey scale image or for that matter any image) into non-overlapping blocks with n pixels(eg n=2), where a block refers to a pixel-group containing n pixels.
image processingImage Processing Toolboxsplit into blocksurgent
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Try this:
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
workspace; % Make sure the workspace panel is showing.
format long g;format compact;fontSize = 16;%===============================================================================
% Get the name of the image the user wants to use.
baseFileName = 'A1.jpg';folder = pwd;fullFileName = fullfile(folder, baseFileName);% Check if file exists.
if ~exist(fullFileName, 'file') % The file doesn't exist -- didn't find it there in that folder.
% Check the entire search path (other folders) for the file by stripping off the folder.
fullFileNameOnSearchPath = baseFileName; % No path this time.
if ~exist(fullFileNameOnSearchPath, 'file') % Still didn't find it. Alert user.
errorMessage = sprintf('Error: %s does not exist in the search path folders.', fullFileName); uiwait(warndlg(errorMessage)); return; endend%=======================================================================================
% Read in demo image.
rgbImage = imread(fullFileName);% Get the dimensions of the image.
[rows, columns, numberOfColorChannels] = size(rgbImage)% Display image.
subplot(2, 2, 1);imshow(rgbImage, []);impixelinfo;axis on;caption = sprintf('Original Color Image\n%s', baseFileName);title(caption, 'FontSize', fontSize, 'Interpreter', 'None');hp = impixelinfo(); % Set up status line to see values when you mouse over the image.
% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0.05 1 0.95]);% Get rid of tool bar and pulldown menus that are along top of figure.
% set(gcf, 'Toolbar', 'none', 'Menu', 'none');
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off')drawnow;% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);greenChannel = rgbImage(:, :, 2);blueChannel = rgbImage(:, :, 3);% get a mask for the red line.
mask = redChannel > greenChannel;% Display the image.
subplot(2, 2, 2);imshow(mask);caption = sprintf('Color Segmentation Mask Image');title(caption, 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;axis('on', 'image');drawnow;% fill holes.
mask = imfill(mask, 'holes');% Take the largest blob only.
mask = bwareafilt(mask, 1);% Shrink two layers of pixels to come inside the red lines.
mask = imerode(mask, true(5));% Display the image.subplot(2, 2, 3);imshow(mask);title('Final Mask', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;axis('on', 'image');% Get a masked image.
% Mask the image using bsxfun() function to multiply the mask by each channel individually.
maskedRgbImage = bsxfun(@times, rgbImage, cast(mask, 'like', rgbImage));% Display the image.subplot(2, 2, 4);imshow(maskedRgbImage);title('Masked RGB Image', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;axis('on', 'image');% Tell user the answer.
message = sprintf('Done!');uiwait(helpdlg(message));
First of all, you shouldn't use highly compressed jepg images for image analysis or else you get bad artifacts like you're seeing.
The "square" is the outermost object and will have label 1. So label everything and remove it. Something like this (untested off the top of my head);
[labeledImage, numberOfRegions] = bwlabel(binaryImage);% Binarize the labeled image to get back to a binary image again.
binaryImage = labeledImage > 1; % Keep all except region #1.
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