Matlab code to find hand extremeties and centre of a hand after image segmentation.

Question

Manjiree Waikar 2017-9-8

1
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/355681-matlab-code-to-find-hand-extremeties-and-centre-of-a-hand-after-image-segmentation

评论： Jose Marques 2017-9-9

hand1.png

Sir can you please tell me how to find centre and hand extremeties of hand image. I have attached the respective image here. Actually I want to automatically extract the region of vein patterns from the back of the palm. Please help me with the code.

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Answer 1

Jose Marques 2017-9-9

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/355681-matlab-code-to-find-hand-extremeties-and-centre-of-a-hand-after-image-segmentation#answer_280857

Hello Manjiree Waikar.

Have you tried this:?

https://www.mathworks.com/matlabcentral/fileexchange/46573-roi-of-palmprint-images?s_tid=answers_rc2-1_p4_MLT

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Manjiree Waikar 2017-9-9

在 MATLAB Online 中打开

if true
  % code
clear all; *bold*
close all;
fontSize = 13;
rgbImage = imread(imgetfile);
% Display the original color image.
subplot(2, 2, 1);
imshow(rgbImage);
title('Original Color Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'Outerposition', [0, 0, 1, 1]);
grayImage = rgb2gray(rgbImage);
% Display the image.
subplot(2, 2, 2);
imshow(grayImage);
title('Gray Scale Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'Outerposition', [0, 0, 1, 1]);
b = grayImage<170;
b = imfill(b, 'holes');
% Label the image
labeledImage = bwlabel(b);
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 biggest blob - that will be the hand.
allAreas = [measurements.Area];
[sortedAreas, sortingIndexes] = sort(allAreas, 'descend');
handIndex1 = sortingIndexes(1);
% Use ismember() to extract the hand from the labeled image.
handImage1 = ismember(labeledImage, handIndex1);
% Now binarize
handImage1 = handImage1 > 0;
% Display the binary image.
subplot(2, 2, 3);
imshow(handImage1);
title('Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
subplot(2,2,4);
imshow(handImage1);
title('binary image with border');
boundaries=bwboundaries(handImage1);
x = boundaries{1}(:, 2);
y = boundaries{1}(:, 1);
hold on;
plot(x, y, 'black', 'LineWidth', 2);
newImage = bwlabel(handImage1);
measurements = regionprops(newImage, 'Centroid', 'BoundingBox');
xCentroid = measurements.Centroid(1);
yCentroid = measurements.Centroid(2);
figure;
imshow(newImage);
title('Binary Image with Centroid Marked'); 
hold on;
plot(xCentroid, yCentroid, 'r*', 'MarkerSize', 10, 'LineWidth', 2);
end

Sir, I have attached my code and input image. I want to find centroid and hand extremeties of the segmented hand image. So, for wrist completion I tried to form a boundary. After getting wrist completion when I tried to find centroid of the hand then I got the centroid for binary image not for the image after formation of boundary(image after wrist completion). I want to solve this problem as when I go for another image (2nd image in the attachment) as input; I don't get the desired result. And my handImage is logical only. Please help with the MATLAB code for wrist completion so that I will be able to get correct centroid for hand.

Jose Marques 2017-9-9

在 MATLAB Online 中打开

Try this:

clear all; %*bold*
close all;
clc;
fontSize = 13;
rgbImage = imread(imgetfile);
% Display the original color image.
subplot(2, 2, 1);
imshow(rgbImage);
title('Original Color Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'Outerposition', [0, 0, 1, 1]);
grayImage = rgb2gray(rgbImage);
% Display the image.
subplot(2, 2, 2);
imshow(grayImage);
title('Gray Scale Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'Outerposition', [0, 0, 1, 1]);
media = round(mean(mean(grayImage)));
% img_bin = imbinarize(grayImage,media);
% afterOpening = imopen(img_bin,se);
b = grayImage<media;
b = imfill(b, 'holes');
% Label the image
[rows, columns, numberOfColorBands] = size(grayImage);
circleCenterX = 120; 
circleCenterY =  120; % square area 0f 500*500 
circleRadius = 110;    % big circle radius 
circleImage = false(rows, columns); 
[x, y] = meshgrid(1:columns, 1:rows); 
circleImage((x - circleCenterX).^2 + (y - circleCenterY).^2 <= circleRadius.^2) = true;
b = and(circleImage,b);
labeledImage = bwlabel(b);
measurements = regionprops(labeledImage, 'BoundingBox', 'Area');
matrix = zeros(4,length(measurements));
vector = zeros(1,length(measurements));
for k = 1 : length(measurements)
thisBB = measurements(k).BoundingBox;
matrix(:,k) = thisBB(:);
vector(k) = thisBB(2);
rectangle('Position', [thisBB(1),thisBB(2),thisBB(3),thisBB(4)],...
'EdgeColor','g','LineWidth',2 )
end
vector = sort(vector);
% Let's extract the biggest blob - that will be the hand.
allAreas = [measurements.Area];
[sortedAreas, sortingIndexes] = sort(allAreas, 'descend');
handIndex1 = sortingIndexes(1);
% Use ismember() to extract the hand from the labeled image.
handImage1 = ismember(labeledImage, handIndex1);
% Now binarize
handImage1 = handImage1 > 0;
se = strel('disk',5);
handImage1 = imerode(handImage1,se);
% Display the binary image.
subplot(2, 2, 3);
imshow(handImage1);
title('Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
subplot(2,2,4);
imshow(handImage1);
title('binary image with border');
boundaries=bwboundaries(handImage1);
x = boundaries{1}(:, 2);
y = boundaries{1}(:, 1);
hold on;
plot(x, y, 'black', 'LineWidth', 2);
newImage = bwlabel(handImage1);
measurements = regionprops(newImage, 'Centroid', 'BoundingBox');
xCentroid = measurements.Centroid(1);
yCentroid = measurements.Centroid(2);
figure;
imshow(newImage);
title('Binary Image with Centroid Marked'); 
hold on;
plot(xCentroid, yCentroid, 'r*', 'MarkerSize', 10, 'LineWidth', 2);