I have the intensity image as shown bleow. I want to blur the corners of two rectangles (shown in image) so that it doesn't look like perfect rectangle.
How can i do that?
digital image processingdigital signal processingfilterimageimage analysisimage processingImage Processing Toolboximage segmentation
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
clear; % Erase all existing variables. Or clearvars if you want.
workspace; % Make sure the workspace panel is showing.
format long g;format compact;fontSize = 22;%--------------------------------------------------------------------------------------------------------
% READ IN IMAGE
folder = pwd;baseFileName = 'image.png';% Get the full filename, with path prepended.
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; endendgrayImage = imread(fullFileName);% Get the dimensions of the image.
% numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image.
[rows, columns, numberOfColorChannels] = size(grayImage);if numberOfColorChannels > 1 % It's not really gray scale like we expected - it's color.
% Use weighted sum of ALL channels to create a gray scale image.
grayImage = rgb2gray(grayImage); % ALTERNATE METHOD: Convert it to gray scale by taking only the green channel,
% which in a typical snapshot will be the least noisy channel.
% grayImage = grayImage(:, :, 2); % Take green channel.
end% Display the image.
subplot(2, 2, 1);imshow(grayImage, []);title('Original Grayscale Image', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;hFig = gcf;hFig.WindowState = 'maximized'; % May not work in earlier versions of MATLAB.
drawnow;%--------------------------------------------------------------------------------------------------------% SEGMENTATION OF IMAGE
% Get a binary image of just the blob and not including the black background or the white surround.
mask = grayImage > 0 & grayImage < 255; %imbinarize(grayImage);
subplot(2, 2, 2);imshow(mask, []);impixelinfo;title('Initial Mask Image', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;% Display histogram of image but only the image within the mask
subplot(2, 3, 4);histogram(grayImage(mask), 0:255);grid on;title('Histogram of gray image', 'FontSize', fontSize);% Now get the threshold
thresh = 255 * graythresh(grayImage(mask))% Put a red line there at the threshold
xline(thresh, 'Color', 'r', 'LineWidth', 2);% Get a binary image of the bright stuff
brightStuff = grayImage >= thresh & mask;subplot(2, 3, 5);imshow(brightStuff, []);impixelinfo;title('Bright Pixels in Region', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;subplot(2, 3, 6);darkStuff = ~brightStuff & mask;imshow(darkStuff, []);impixelinfo;title('Dark Pixels in Region', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
clear; % Erase all existing variables. Or clearvars if you want.
workspace; % Make sure the workspace panel is showing.
format long g;format compact;fontSize = 22;%--------------------------------------------------------------------------------------------------------
% READ IN IMAGE
folder = pwd;baseFileName = 'cameraman.tif';grayImage = imread(baseFileName);% Get the dimensions of the image.
% numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image.
[rows, columns, numberOfColorChannels] = size(grayImage)if numberOfColorChannels > 1 % It's not really gray scale like we expected - it's color.
% Use weighted sum of ALL channels to create a gray scale image.
grayImage = rgb2gray(grayImage); % ALTERNATE METHOD: Convert it to gray scale by taking only the green channel,
% which in a typical snapshot will be the least noisy channel.
% grayImage = grayImage(:, :, 2); % Take green channel.
end%--------------------------------------------------------------------------------------------------------% Display the image with the original, linear colormap.
subplot(2, 2, 1);cmap = jet(256);imshow(grayImage, 'Colormap', cmap);axis('on', 'image');title('Original Color Map', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;colorbar;hFig = gcf;hFig.WindowState = 'maximized'; % May not work in earlier versions of MATLAB.
drawnow;set(gca,'ColorScale','log')%--------------------------------------------------------------------------------------------------------% Show the histogram:
subplot(2, 2, 2);imhist(grayImage);grid on;title('Histogram', 'FontSize', fontSize, 'Interpreter', 'None');minGL = 150;maxGL = 190;xline(minGL, 'Color', 'r', 'LineWidth', 2);xline(maxGL, 'Color', 'r', 'LineWidth', 2);%--------------------------------------------------------------------------------------------------------% BINARIZE THE IMAGE
mask = grayImage >= minGL & grayImage <= maxGL;%--------------------------------------------------------------------------------------------------------% Display the mask.
subplot(2, 2, 3);imshow(mask);axis('on', 'image');title('Mask', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;colorbar;drawnow;%--------------------------------------------------------------------------------------------------------% Apply the mask
maskedImage = grayImage; % Initialize
maskedImage(~mask) = 0; % Erase outside of mask
subplot(2, 2, 4);imshow(maskedImage, 'Colormap', cmap);axis('on', 'image');caption = sprintf('Masked Image with color map applied between %d and %d', minGL, maxGL);title(caption, 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;colorbar;caxis([minGL, maxGL]);drawnow;
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