MATLAB: Combine 2 image results of segmentation, into one of axes

axescombinefigureguiimage segmentation

—————————————————————————————————————–

I want to ask, I hope you see this can help me, thanks I've done segmentation on that image and has 9 parts segmentation, I just want to take segmentation to figures 5 and 6, but I can only take segmentation in figure 5.

I want to ask how to combine figure 5 and figure 6 on the one axes as the final result of segmentation ..

note: I only use one image only, "Lat1.bmp" and I want to know how to combine the two figures on the one axes as the final result of segmentation

Best Answer

I may not understand the question, but why not just use segmented portions 5 and 6 as a mask on the original BW image? I guess the workflow would be something like

- extract the segments

- make an image of "falses" the same size as the original called BWsegs

- set the indices of segment 5 as "true" in BWsegs

- set the indices of segment 6 as "true" in BWsegs

The BWsegs is what you're looking for. You can use regionprops to get the bounding box for cropping if you'd like.

Related Solutions

MATLAB: Help with regionprops in order to draw boundary

There were lots of fixes that needed to be made. Here is the fixed code:

% Initialization steps.
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;
grayImage = imread('li.jpg');
% Display the image.
subplot(3, 3, 1);
imshow(grayImage);
axis on;
% Get the dimensions of the image.  Convert to gray scale if it's more than 1 color channel.
% 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); 
end
% Crop off white surround
grayImage = grayImage(321:472, 97:1104);
subplot(3, 3, 2);
imshow(grayImage);
axis on;
% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
% 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')
% Let's compute and display the histogram.
[pixelCount, grayLevels] = imhist(grayImage);
subplot(3, 3, 3); 
bar(grayLevels, pixelCount); % Plot it as a bar chart.
grid on;
title('Histogram of original image', 'FontSize', fontSize, 'Interpreter', 'None');
xlabel('Gray Level', 'FontSize', fontSize);
ylabel('Pixel Count', 'FontSize', fontSize);
xlim([0 grayLevels(end)]); % Scale x axis manually.
% threshold = graythresh(grayImage); % Bad for a JPG image
threshold = 200;
mask = grayImage > threshold;
% Get rid of small blobs
mask = bwareaopen(mask, 50);
subplot(3, 3, 3);
imshow(mask);
axis on;
[labeledImage, numberOfRegions] = bwlabel(mask);
props = regionprops(labeledImage,'BoundingBox');
hold on
for n = 1 : numberOfRegions
  rectangle('Position',props(n).BoundingBox, 'EdgeColor','r', 'LineWidth',2)
end
hold off
% Crop regions and save them.
folder = 'C:\SegmentedCharacters';
for n = 1 : numberOfRegions
  croppedImage = imcrop(mask, props(n).BoundingBox);
  subplot(3, 3, n+3);
  imshow(croppedImage);
  axis on;
  % Save to disk
  baseFileName = sprintf('figure %d.png', n);
  fullFileName = fullfile(folder, baseFileName)
  imwrite(croppedImage, fullFileName);
end

MATLAB: How to segment (divide) an image into 4 equal halves

I1=I(1:size(I,1)/2,1:size(I,2)/2,:);
I2=I(size(I,1)/2+1:size(I,1),1:size(I,2)/2,:);
I3=I(1:size(I,1)/2,size(I,2)/2+1:size(I,2),:);
I4=I(size(I,1)/2+1:size(I,1),size(I,2)/2+1:size(I,2),:);

try this out, it will do

Best Answer

Related Solutions

MATLAB: Help with regionprops in order to draw boundary

MATLAB: How to segment (divide) an image into 4 equal halves

Related Question