
Kinect depth image segmentation
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Nivethitha M
le 23 Avr 2022
Commenté : Nivethitha M
le 25 Avr 2022
I want to segment the hand region alone from the kinect depth image that I have attached. As I am new to MATLAB and image processing I don't have any idea how to proceed on this . Can anyone give me a hand with this?
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Image Analyst
le 23 Avr 2022
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 = 22;
markerSize = 40;
%--------------------------------------------------------------------------------------------------------
% READ IN IMAGE
folder = pwd;
baseFileName = '5_depth.png';
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
rgbImage = 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(rgbImage)
if numberOfColorChannels > 1
% It's not really gray scale like we expected - it's color.
fprintf('It is not really gray scale like we expected - it is color\n');
% Extract the blue channel.
grayImage = rgbImage(:, :, 3);
else
grayImage = rgbImage;
end
%--------------------------------------------------------------------------------------------------------
% Display the image.
subplot(2, 1, 1);
imshow(grayImage);
impixelinfo;
axis('on', 'image');
title('Original Gray Scale Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Maximize window.
g = gcf;
g.WindowState = 'maximized';
drawnow;
%--------------------------------------------------------------------------------------------------------
% Binarize the image to get a mask.
mask = grayImage == 18;
mask = imfill(mask, 'holes');
% Take at most 3 blobs.
mask = bwareafilt(mask, 2);
% Blobs must be at least 10 pixels big:
mask = bwareaopen(mask, 10);
% Display mask image.
subplot(2, 1, 2);
imshow(mask);
hold on;
impixelinfo;
axis('on', 'image');
drawnow;
title('Mask, a Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Get all the blob properties. Can only pass in originalImage in version R2008a and later.
props = regionprops(mask, 'Area', 'Centroid');
allAreas = [props.Area]
centroids = vertcat(props.Centroid);
% Tell the user
message = sprintf('Done!\n\nThe hand area is %d pixels', sum(allAreas));
uiwait(helpdlg(message))

6 commentaires
Image Analyst
le 25 Avr 2022
See the FAQ for how to process a sequence of files:
There are code samples there that you can adapt. Inside the loop, put some code to write your results to some output folder.
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