I would like to know how to convert a binary image to a pseudo color image based on closed regions

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this to this

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Image Analyst
Image Analyst 2021-10-25
编辑:Image Analyst 2021-10-25
Try this:
% Demo by Image Analyst
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 = 20;
markerSize = 40;
%--------------------------------------------------------------------------------------------------------
% READ IN IMAGE
fileName = 'image.png';
grayImage = imread(fileName);
% 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.
% Extract the red channel (so the magenta lines will be white).
grayImage = grayImage(:, :, 1);
end
%--------------------------------------------------------------------------------------------------------
% Display the image.
subplot(2, 2, 1);
imshow(grayImage, []);
impixelinfo;
axis('on', 'image');
title('Original Gray Scale Image', 'FontSize', fontSize, 'Interpreter', 'None');
hold on
drawnow;
% Maximize window.
g = gcf;
g.WindowState = 'maximized'
drawnow;
% Get a mask:
binaryImage = grayImage < 128;
% Display the image.
subplot(2, 2, 2);
imshow(binaryImage, []);
impixelinfo;
axis('on', 'image');
title('Mask/Binary/Logical Image', 'FontSize', fontSize, 'Interpreter', 'None');
hold on
drawnow;
% Label each blob with 8-connectivity, so we can make measurements of it
[labeledImage, numberOfBlobs] = bwlabel(binaryImage, 8);
% Display the image.
subplot(2, 2, 3);
imshow(labeledImage, []);
impixelinfo;
axis('on', 'image');
title('Labeled Image', 'FontSize', fontSize, 'Interpreter', 'None');
hold on
drawnow;
% Apply a variety of pseudo-colors to the regions.
coloredLabelsImage = label2rgb (labeledImage, 'jet', [0,0,.5]);
% Display the pseudo-colored image.
subplot(2, 2, 4);
imshow(coloredLabelsImage);
impixelinfo;
axis('on', 'image');
title('Colorized Labeled Image', 'FontSize', fontSize, 'Interpreter', 'None');
hold on
drawnow;
[EDIT] Just a note to say that while this may look pretty, it's not very useful because you cannot tell if nearby blobs are connected because their colors are so similar. You'd be better off with shuffling the colors like this:
coloredLabelsImage = label2rgb (labeledImage, 'jet', 'k', 'shuffle');

更多回答(3 个)

yanqi liu
yanqi liu 2021-10-26
sir,please check the follow code to get some information
clc; clear all; close all;
I = imread('https://www.mathworks.com/matlabcentral/answers/uploaded_files/777933/image.png');
J = im2bw(I);
J = ~J;
[L,num] = bwlabel(J);
figure; imagesc(L);axis equal; axis off;colormap jet;

Akshay Kumar Pakala
Akshay Kumar Pakala 2021-10-25
Thank you image analyist for the your answer and the code. I will try to grasp your code and run it, and will let you know my comments.
Neverthelss, thank you for the immediate response.

Akshay Kumar Pakala
Akshay Kumar Pakala 2021-10-25
Hey thanks a lot again. I really appreciate your help. I just have some questions regarding your code.
1st one
from your code "binaryImage = grayImage < 128;"
how does this work.
  10 个评论
Image Analyst
Image Analyst 2021-10-26
You can get the number of blobs like this:
[labeledImage, numberOfBlobs] = bwlabel(binaryImage, 8);
props = regionprops(labeledImage, 'Area', 'EquivDiameter', 'Perimeter'); % Whatever you want.
numberOfBlobs should be the same as numel(props) which is the number of blobs in the image.
You might want to call
binaryImage = imclearborder(binaryImage);
before calling bwlabel() to get rid of partial blobs being chopped off at the boundary. The areas are not accurate for those blobs because we do not have the entire blob available to measure.

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