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How to annotate borders with different colors?
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clear all;
close all;
clc;
a=im2bw(imread('taskD_tag1.tif'));
c=im2bw(imread('taskD_tag2.tif'));
L3 = rangefilt(a);
L4 = rangefilt(c);
montage({L3})
How to annotate border with different colors? (e.g. yellow and blue) Here are the images that are binarised and filter.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1230277/image.jpeg)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1230282/image.jpeg)
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답변 (3개)
Image Analyst
2022년 12월 14일
OK, here's a full demo for you.
% Demo by Image Analyst
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 = 'cards.JPEG';
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;
end
end
%===================================================================================================================
% Read in 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 RGB 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.
g = gcf;
g.WindowState = "maximized";
% 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;
%=========================================================================================================================
% Threshold the image to create a mask of the blue objects
[blueMask,maskedRGBImage] = createBlueMask(rgbImage);
% Get rid of particles less than 1000 pixels.
% props = regionprops(mask, 'Area'); % Measure areas of our initial mask to determine areas of LED and possible noise.
% allAreas = sort([props.Area])
% mask = bwareaopen(mask, 1000);
% Take the largest blob only.
blueMask = bwareafilt(blueMask, 1);
% Fill any holes in the blobs.
blueMask = imfill(blueMask, 'holes');
% Display the mask image.
subplot(2, 2, 2);
imshow(blueMask, []);
impixelinfo;
axis('on', 'image');
title('Blue Mask Image', 'FontSize', fontSize);
drawnow;
%=========================================================================================================================
% Threshold the image to create a mask of the blue objects
[yellowMask,maskedRGBImage] = createYellowMask(rgbImage);
% Get rid of particles less than 1000 pixels.
% props = regionprops(yellowMask, 'Area'); % Measure areas of our initial mask to determine areas of LED and possible noise.
% allAreas = sort([props.Area])
% mask = bwareaopen(yellowMask, 1000);
% Take the largest blob only.
yellowMask = bwareafilt(yellowMask, 1);
% Fill any holes in the blobs.
yellowMask = imfill(yellowMask, 'holes');
% Display the mask image.
subplot(2, 2, 3);
imshow(yellowMask, []);
impixelinfo;
axis('on', 'image');
title('Yellow Mask Image', 'FontSize', fontSize);
drawnow;
%=========================================================================================================================
% Get the boundaries
% Plot the borders of all the blobs in the overlay above the original grayscale image
% using the coordinates returned by bwboundaries().
% bwboundaries() returns a cell array, where each cell contains the row/column coordinates for an object in the image.
subplot(2, 2, 4);
imshow(rgbImage); % Optional : show the original image again. Or you can leave the binary image showing if you want.
% Here is where we actually get the boundaries for each blob.
blueBoundaries = bwboundaries(blueMask);
yellowBoundaries = bwboundaries(yellowMask);
% boundaries is a cell array - one cell for each blob.
% In each cell is an N-by-2 list of coordinates in a (row, column) format. Note: NOT (x,y).
% Column 1 is rows, or y. Column 2 is columns, or x.
numberOfBoundaries = size(blueBoundaries, 1); % Count the boundaries so we can use it in our for loop
% Here is where we actually plot the boundaries of each blob in the overlay.
hold on; % Don't let boundaries blow away the displayed image.
for k = 1 : numberOfBoundaries
% Plot blue boundaries in red.
thisBoundary = blueBoundaries{k}; % Get boundary for this specific blob.
x = thisBoundary(:,2); % Column 2 is the columns, which is x.
y = thisBoundary(:,1); % Column 1 is the rows, which is y.
plot(x, y, 'r-', 'LineWidth', 2); % Plot boundary in red.
% Plot yellow boundaries in magenta.
thisBoundary = yellowBoundaries{k}; % Get boundary for this specific blob.
x = thisBoundary(:,2); % Column 2 is the columns, which is x.
y = thisBoundary(:,1); % Column 1 is the rows, which is y.
plot(x, y, 'm-', 'LineWidth', 2); % Plot boundary in red.
end
hold off;
caption = sprintf('Outlines, from bwboundaries()');
title(caption, 'FontSize', fontSize);
axis('on', 'image'); % Make sure image is not artificially stretched because of screen's aspect ratio.
%=========================================================================================================================
% Display image.
subplot(2, 2, 1);
imshow(rgbImage, []);
impixelinfo;
axis on;
caption = sprintf('Original RGB 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.
%=========================================================================================================================
function [BW,maskedRGBImage] = createBlueMask(RGB)
%createMask Threshold RGB image using auto-generated code from colorThresholder app.
% [BW,MASKEDRGBIMAGE] = createMask(RGB) thresholds image RGB using
% auto-generated code from the colorThresholder app. The colorspace and
% range for each channel of the colorspace were set within the app. The
% segmentation mask is returned in BW, and a composite of the mask and
% original RGB images is returned in maskedRGBImage.
% Auto-generated by colorThresholder app on 14-Dec-2022
%------------------------------------------------------
% Convert RGB image to chosen color space
I = rgb2hsv(RGB);
% Define thresholds for channel 1 based on histogram settings
channel1Min = 0.453;
channel1Max = 0.817;
% Define thresholds for channel 2 based on histogram settings
channel2Min = 0.338;
channel2Max = 1.000;
% Define thresholds for channel 3 based on histogram settings
channel3Min = 0.000;
channel3Max = 1.000;
% Create mask based on chosen histogram thresholds
sliderBW = (I(:,:,1) >= channel1Min ) & (I(:,:,1) <= channel1Max) & ...
(I(:,:,2) >= channel2Min ) & (I(:,:,2) <= channel2Max) & ...
(I(:,:,3) >= channel3Min ) & (I(:,:,3) <= channel3Max);
BW = sliderBW;
% Initialize output masked image based on input image.
maskedRGBImage = RGB;
% Set background pixels where BW is false to zero.
maskedRGBImage(repmat(~BW,[1 1 3])) = 0;
end
%======================================================================================================================
function [BW,maskedRGBImage] = createYellowMask(RGB)
%createMask Threshold RGB image using auto-generated code from colorThresholder app.
% [BW,MASKEDRGBIMAGE] = createMask(RGB) thresholds image RGB using
% auto-generated code from the colorThresholder app. The colorspace and
% range for each channel of the colorspace were set within the app. The
% segmentation mask is returned in BW, and a composite of the mask and
% original RGB images is returned in maskedRGBImage.
% Auto-generated by colorThresholder app on 14-Dec-2022
%------------------------------------------------------
% Convert RGB image to chosen color space
I = rgb2hsv(RGB);
% Define thresholds for channel 1 based on histogram settings
channel1Min = 0.066;
channel1Max = 0.346;
% Define thresholds for channel 2 based on histogram settings
channel2Min = 0.113;
channel2Max = 1.000;
% Define thresholds for channel 3 based on histogram settings
channel3Min = 0.808;
channel3Max = 1.000;
% Create mask based on chosen histogram thresholds
sliderBW = (I(:,:,1) >= channel1Min ) & (I(:,:,1) <= channel1Max) & ...
(I(:,:,2) >= channel2Min ) & (I(:,:,2) <= channel2Max) & ...
(I(:,:,3) >= channel3Min ) & (I(:,:,3) <= channel3Max);
BW = sliderBW;
% Initialize output masked image based on input image.
maskedRGBImage = RGB;
% Set background pixels where BW is false to zero.
maskedRGBImage(repmat(~BW,[1 1 3])) = 0;
end
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1231377/image.png)
댓글 수: 0
millercommamatt
2022년 12월 13일
This example from the Documentation includes a way to do this.
https://www.mathworks.com/help/images/correcting-nonuniform-illumination.html
댓글 수: 0
Image Analyst
2022년 12월 13일
Here is a snippet to draw boundaries about your blobs in a binary image. You can change the color to whatever you want in the call to plot():
% Plot the borders of all the blobs in the overlay above the original grayscale image
% using the coordinates returned by bwboundaries().
% bwboundaries() returns a cell array, where each cell contains the row/column coordinates for an object in the image.
imshow(originalImage); % Optional : show the original image again. Or you can leave the binary image showing if you want.
% Here is where we actually get the boundaries for each blob.
boundaries = bwboundaries(mask);
% boundaries is a cell array - one cell for each blob.
% In each cell is an N-by-2 list of coordinates in a (row, column) format. Note: NOT (x,y).
% Column 1 is rows, or y. Column 2 is columns, or x.
numberOfBoundaries = size(boundaries, 1); % Count the boundaries so we can use it in our for loop
% Here is where we actually plot the boundaries of each blob in the overlay.
hold on; % Don't let boundaries blow away the displayed image.
for k = 1 : numberOfBoundaries
thisBoundary = boundaries{k}; % Get boundary for this specific blob.
x = thisBoundary(:,2); % Column 2 is the columns, which is x.
y = thisBoundary(:,1); % Column 1 is the rows, which is y.
plot(x, y, 'r-', 'LineWidth', 2); % Plot boundary in red.
end
hold off;
caption = sprintf('%d Outlines, from bwboundaries()', numberOfBoundaries);
fontSize = 15;
title(caption, 'FontSize', fontSize);
axis('on', 'image'); % Make sure image is not artificially stretched because of screen's aspect ratio.
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