MATLAB: Insertshape auto find the coordinate of the object

Computer Vision ToolboxImage Processing Toolboximage segmentationinserthape

Hi, may i know how to insertshape auto find the coordinate of the object that in black pixel in the image?

Best Answer

info = regionprops(~TheImage, 'Centroid');
coords = vertcat(info.Centroid);
x_coords = coords(:,1);
y_coords = coords(:,2);

but remember that x corresponds to columns and y corresponds to rows.

Related Solutions

MATLAB: How to remove error ‘matrix dimensions must agree’ in XOR code

Before apply the XOR logic operation, please make sure that both and b images have same dimension.

If the a and b images are RGB image, convert them to gray images, then only apply xor on binary images.

a =imread('a.jpg');
[r c]=size(a);
b = imread('b.jpg');
% New Line 

% Try to make the size of b, as same size of a

b=imresize(b,[r c]);
binary1 = im2bw(a);
binary2 = im2bw(b);
output = xor(binary1, binary2);
subplot(3,2,1), imshow(a); title('First Image');
subplot(3,2,2), imshow(b); title('Second Image');
subplot(3,2,3), imshow(binary1); title('First Binary Image');
subplot(3,2,4), imshow(binary2); title('Second Binary Image');
subplot(3,2,5), imshow(output); title('Output');

a=rgb2gray(imread('a.jpg'));
[r c]=size(a);
b=rgb2gray(imread('b.jpg'));
% New Line 
% Try to make the size of b, as same size of a
b=imresize(b,[r c]);
binary1=im2bw(a);
binary2=im2bw(b);
output=xor(binary1, binary2);
subplot(3,2,1), imshow(a); title('First Image');
subplot(3,2,2), imshow(b); title('Second Image');
subplot(3,2,3), imshow(binary1); title('First Binary Image');
subplot(3,2,4), imshow(binary2); title('Second Binary Image');
subplot(3,2,5), imshow(output); title('Output');

Any issue let me know?

MATLAB: How to make an image from extracted Bit planes

It's because your watermark is not the same size as your base image. Instead of your "M=...." line, replace it with this code:

[rowsC columnsC] = size(C)
% Define location of final watermark.
topRow = 10;
leftColumn = 20;
bottomRow = topRow + rowsC - 1;
rightColumn = leftColumn + columnsC - 1;
% Get an image as big as the original
canvass = zeros(size(A), 'uint8');
canvass(topRow:bottomRow, leftColumn:rightColumn) = C8;
% Now they're all the same size so you can add them.
M = canvass +M2+M3+M4+M5+M6+M7+M8;

Best Answer

Related Solutions

MATLAB: How to remove error ‘matrix dimensions must agree’ in XOR code

MATLAB: How to make an image from extracted Bit planes

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