how can i recombine image after i separated it?

how can i recombine an image after i used imfreehand function to separate region of interisted and then i processed region of non interest, now i want to combine region of interst with region of non interest. any help is apprecited.

[Image Analyst]

Please explain in more detail, and upload image(s) to illustrate what you have and what you want.

[Walter Roberson]

http://www.mathworks.com/matlabcentral/answers/7924-where-can-i-upload-images-and-files-for-use-on-matlab-answers

Answer 1

[Walter Roberson]

Copy the old image to a new array, and copy the roi points in the processed image on top of the roi points in the new array.

Answer 2

[Image Analyst]

You mean like this demo:

% Demo to have the user freehand draw an irregular shape over
% a gray scale image, have it save that part, blur the image,
% and to write the saved pixels over the blurred image.

% Change the current folder to the folder of this m-file.
if(~isdeployed)
  cd(fileparts(which(mfilename)));
end
clc;  % Clear command window.
clear;  % Delete all variables.
close all;  % Close all figure windows except those created by imtool.
imtool close all;  % Close all figure windows created by imtool.
workspace;  % Make sure the workspace panel is showing.
fontSize = 16;

% Read in a standard MATLAB gray scale demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
baseFileName = 'cameraman.tif';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
% Check if file exists.
if ~exist(fullFileName, 'file')
  % File doesn't exist -- 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 in the search path folders.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
grayImage = imread(fullFileName);
imshow(grayImage, []);
axis on;
title('Original Grayscale Image', 'FontSize', fontSize);
set(gcf, 'Position', get(0,'Screensize')); % Maximize figure.
message = sprintf('Left click and hold to begin drawing.\nSimply lift the mouse button to finish');
uiwait(msgbox(message));
hFH = imfreehand();
% Create a binary image ("mask") from the ROI object.
binaryImage = hFH.createMask();
xy = hFH.getPosition;

% Save the original pixels in the mask
savedPixels = grayImage(binaryImage);

% Now make it smaller so we can show more images.
subplot(2, 3, 1);
imshow(grayImage, []);
axis on;
drawnow;
title('Original Grayscale Image', 'FontSize', fontSize);

% Display the freehand mask.
subplot(2, 3, 2);
imshow(binaryImage);
axis on;
title('Binary mask of the region', 'FontSize', fontSize);

% Mask the image and display it.
% Will keep only the part of the image that's inside the mask, zero outside mask.
blackMaskedImage = grayImage;
blackMaskedImage(~binaryImage) = 0;
subplot(2, 3, 3);
imshow(blackMaskedImage);
axis on;
title('Masked Outside Region', 'FontSize', fontSize);

% Now blur the image
windowWidth = 21;
blurredImage = conv2(grayImage, ones(windowWidth)/windowWidth^2, 'same');
subplot(2, 3, 4);
imshow(blurredImage, []);
title('Blurred image', 'FontSize', fontSize);

% Now replace the pixels with the original pixels
blurredImage(binaryImage) = savedPixels;
subplot(2, 3, 5);
imshow(blurredImage, []);
title('Blurred image plus original saved pixels', 'FontSize', fontSize);