I would like to change image A into image B using Matlab. I only need that specific region, shown in B, located between green and red contours. Can you please help?
MATLAB: Extract the region of interest in a color image
contourImage Processing Toolboximage segmentationmaskingregion of interestroi
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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));
k is the image(RGB) array
j=k(:,:,1);l=k(:,:,2);m=k(:,:,3);l((j>=40))=0;m(j>=40)=0;k(:,:,1)=j;k(:,:,2)=l;k(:,:,3)=m;imshow(k)Related Question
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