i'm trying to make a size sorter but ran into a problem; does anyone know how to make matlab draw a box around this potato and then determine the width of this box?
MATLAB: Get the width of bounding box
imaimage processingImage Processing Toolboximage segmentation
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Your image had a white frame/border around it. Use imclearborder() to get rid of that. See corrected code:
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
workspace; % Make sure the workspace panel is showing.
format long g;format compact;fontSize = 20;rgbImage = imread('hole.png');subplot(2,2,1)imshow(rgbImage)title('Original Image', 'FontSize', fontSize);% 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') %binarization
binaryImage = im2bw(rgbImage);% Display this image.
subplot(2,2,2);imshow(binaryImage);title('Original Binary Image', 'FontSize', fontSize);% Important: Get rid of surrounding white border (frame):
binaryImage = imclearborder(binaryImage);% Display this image.subplot(2,2,3);imshow(binaryImage);title('Frame now removed', 'FontSize', fontSize);% Close the holes
filledImage = imfill(binaryImage, 'holes');subplot(2,2,4);imshow(filledImage);title('Image without frame or holes', 'FontSize', fontSize);
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 endendimg=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);
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