MATLAB: How to crop image with nonlinear cropping shape

cropcutdigital image processingimageimage analysisimage processingImage Processing Toolbox

Dear all,

I have following image:

And would like to crop it as follows:

Here is the code I'm using right now is:

    clc;close all;clear all;
    corn=imread('After_phi_o-phi-f.jpg');
    mm_corn=imerode(corn,strel('disk',1));
    bw_corn=im2bw(mm_corn, graythresh(mm_corn));
    cc_corn = bwconncomp(bw_corn);                                                       
    aba_corn = [cellfun(@numel,cc_corn.PixelIdxList)];                                                                          
    [mv_corn,ind] = sort(aba_corn,'descend');
    L_corn=labelmatrix(cc_corn);                                                                                                   
    ki_corn = find(aba_corn >= mv_corn(2));       
    mbi_corn = ismember(L_corn, ki_corn);                                                                                           
    bw_corn(~mbi_corn) = 0;                                                                                                      
    Ibw = imfill(bw_corn,'holes');
    Ilabel = bwlabel(Ibw);
    stat = regionprops(Ilabel,'centroid');
    imshow(bwconvhull(im2bw(corn, graythresh(corn)))); hold on;
    plot([stat(1).Centroid(1),stat(2).Centroid(1)], [stat(1).Centroid(2),stat(2).Centroid(2)], 'r');1)

And result is:

So I want cut information from the left until the red line, how I can do it?

Thanks for any help.

Best Answer

Get the horizontal and vertical profiles using sum(), and get the top and bottom row and left and right column using find()

horizontalProfile = sum(binaryImage, 1);
verticalProfile = sum(binaryImage, 2);
topRow = find(verticalProfile, 1, 'first');
bottomRow = find(verticalProfile, 1, 'last');
leftColumn= find(horizontalProfile, 1, 'first');
rightColumn = find(horizontalProfile, 1, 'last');
croppedImage = binaryImage(topRow:bottomRow, leftColumn:rightColumn);

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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);

MATLAB: How to crop a interest part image

Just get profiles and use find:

verticalProfile = sum(binaryImage, 2); % Sum along columns in each row.
row1 = find(verticalProfile, 1, 'first');
row2 = find(verticalProfile, 1, 'last');
horizontalProfile = sum(binaryImage, 1); % Sum along rows in each column.
column1 = find(horizontalProfile, 1, 'first');
column2 = find(horizontalProfile, 1, 'last');
croppedImage = binaryImage(row1:row2, column1:column2);

Best Answer

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MATLAB: How to crop a interest part image

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