MATLAB: How to detect hand from an image

already accepted and solvedgesturehandImage Processing Toolboxskin

I have to detect hand from an image. First when I tried this code that is given in below link: https://www.mathworks.com/matlabcentral/answers/112917-how-to-detect-hand then it detect my hand with an arm area as shown in given figure. Can you please tell me how can I detect hand from an arm.

Here is the code:

    folder=('C:\Users\Tayaba Abro\Desktop');
    baseFileName=('hand.jpg');
    fullFileName=fullfile(folder,baseFileName);
    format long g;
    format compact;
    fontSize = 20;
    %IMAGE SEGMENTATION
    img=imread(fullFileName);
    img=rgb2ycbcr(img);
    for i=1:size(img,1)
        for j= 1:size(img,2)
            cb = img(i,j,2);
            cr = img(i,j,3);
            if(~(cr > 132 && cr < 173 && cb > 76 && cb < 126))
                img(i,j,1)=235;
                img(i,j,2)=128;
                img(i,j,3)=128;
            end
        end
    end
    img=ycbcr2rgb(img);
    subplot(2,2,1);
    image1=imshow(img);
    axis on;
    title('Skin Segmentation', 'FontSize', fontSize);
    set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
    %SEGMENTED IMAGE TO GRAYIMAGE
    grayImage=rgb2gray(img);
    subplot(2,2,2);
    image2=imshow(grayImage);
    axis on;
    title('Original Grayscale Image', 'FontSize', fontSize);
    set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
    %GRAY TO BINARY IMAGE
    binaryImage = grayImage < 245;
    subplot(2, 2, 3);
    axis on;
    image3=imshow(binaryImage, []);
    title('Binary Image', 'FontSize', fontSize);
    % Label the image 
    labeledImage = bwlabel(binaryImage);  % label the connected components in an image and assigning each one a unique label
    measurements = regionprops(labeledImage, 'BoundingBox', 'Area');
    for k = 1 : length(measurements)
      thisBB = measurements(k).BoundingBox;
      rectangle('Position', [thisBB(1),thisBB(2),thisBB(3),thisBB(4)],...
      'EdgeColor','r','LineWidth',2 )
    end
    % Let's extract the second biggest blob - that will be the hand.
    allAreas = [measurements.Area];
    [sortedAreas, sortingIndexes] = sort(allAreas, 'descend');
    handIndex = sortingIndexes(2); % The hand is the second biggest, face is biggest.
    % Use ismember() to extact the hand from the labeled image.
    handImage = ismember(labeledImage, handIndex);
    % Now binarize
    handImage = handImage > 0;
    % Display the image.
    subplot(2, 2, 4);
    image4=imshow(handImage, []);
    title('Hand Image', 'FontSize', fontSize);

Best Answer

Related Solutions

MATLAB: Crop dark area and display the face only

Convert to grayscale and then threshold and find the bounding box

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
imtool close all;  % Close all imtool figures.
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;
% Read in the color image.
folder = pwd;
baseFileName = 'm2.bmp';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
  % Didn't find it there.  Check the search path for it.
  fullFileName = baseFileName; % No path this time.
  if ~exist(fullFileName, 'file')
    % Still didn't find it.  Alert user.
    errorMessage = sprintf('Error: %s does not exist.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
rgbImage = imread(fullFileName);
% Get the dimensions of the image.  numberOfColorBands should be = 3.
[rows, columns, numberOfColorBands] = size(rgbImage);
% Display the original color image.
subplot(2, 3, 1);
imshow(rgbImage, []);
axis on;
title('Original Color Image', 'FontSize', fontSize);
drawnow;
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Histogram the red channel, but there is a huge spike at 255 so let's not count those.
subplot(2, 3, 2);
grayImage = rgb2gray(rgbImage);
imshow(grayImage, []);
title('Gray Scale version', 'FontSize', fontSize);
subplot(2, 3, 3);
histogram(grayImage(grayImage<255))
grid on;
title('Histogram of Gray Scale Image', 'FontSize', fontSize);
someThresholdValue = 150;
binaryImage = grayImage > someThresholdValue;
% Take largest blob
binaryImage = bwareafilt(binaryImage, 1);
subplot(2, 3, 4);
imshow(binaryImage);
grid on;
title('Binary Image', 'FontSize', fontSize);
% Label the binary image.
labeledImage = bwlabel(binaryImage);
props = regionprops(labeledImage, 'BoundingBox');
bbox = props.BoundingBox
croppedImageRGB = imcrop(rgbImage, bbox);
subplot(2, 3, 5);
imshow(croppedImageRGB);
grid on;
title('Cropped RGB Image', 'FontSize', fontSize);
% Gray scale version of cropped image
croppedImageGray = imcrop(grayImage, bbox);
subplot(2, 3, 6);
imshow(croppedImageGray);
grid on;
title('Cropped Gray Scale Image', 'FontSize', fontSize);

MATLAB: How to detect hand from body in pic

I have to detect hand from an image. First when I tried your code that is given in link below: https://www.mathworks.com/matlabcentral/answers/112917-how-to-detect-hand It was detecting my complete image as an one object, so I use skin segmentation then it detect my hand with an arm area as shown in given figure. Can you please tell me how can I detect hand from an arm.

folder=('C:\Users\Tayaba Abro\Desktop'); baseFileName=('hand.jpg'); fullFileName=fullfile(folder,baseFileName); format long g; format compact; fontSize = 20;

%IMAGE SEGMENTATION
img=imread(fullFileName);
img=rgb2ycbcr(img);
for i=1:size(img,1)
    for j= 1:size(img,2)
        cb = img(i,j,2);
        cr = img(i,j,3);
        if(~(cr > 132 && cr < 173 && cb > 76 && cb < 126))
            img(i,j,1)=235;
            img(i,j,2)=128;
            img(i,j,3)=128;
        end
    end
end
img=ycbcr2rgb(img);
subplot(2,2,1);
image1=imshow(img);
axis on;
title('Skin Segmentation', 'FontSize', fontSize);
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
%SEGMENTED IMAGE TO GRAYIMAGE
grayImage=rgb2gray(img);
subplot(2,2,2);
image2=imshow(grayImage);
axis on;
title('Original Grayscale Image', 'FontSize', fontSize);
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
%GRAY TO BINARY IMAGE
binaryImage = grayImage < 245;
subplot(2, 2, 3);
axis on;
imshow(binaryImage, []);
title('Binary Image', 'FontSize', fontSize);
% Label the image 
labeledImage = bwlabel(binaryImage);  % labeling is the process of identifying the connected components in an image and assigning each one a unique label, like this:
measurements = regionprops(labeledImage, 'BoundingBox', 'Area');
for k = 1 : length(measurements)
  thisBB = measurements(k).BoundingBox;
  rectangle('Position', [thisBB(1),thisBB(2),thisBB(3),thisBB(4)],...
  'EdgeColor','r','LineWidth',2 )
end
% Let's extract the second biggest blob - that will be the hand.
allAreas = [measurements.Area];
[sortedAreas, sortingIndexes] = sort(allAreas, 'descend');
handIndex = sortingIndexes(2); % The hand is the second biggest, face is biggest.
% Use ismember() to extact the hand from the labeled image.
 handImage = ismember(labeledImage, handIndex);
% Now binarize
handImage = handImage > 0;
% Display the image.
subplot(2, 2, 4);
imshow(handImage, []);
title('Hand Image', 'FontSize', fontSize);

Best Answer

Related Solutions

MATLAB: Crop dark area and display the face only

MATLAB: How to detect hand from body in pic

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