How to keep all image data after transformation?
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In the below code, I try to calculate the distance between the 1-pixel and the other 0's pixels within a4 matrix. I face a problem because the 1-pixel is disappeared from the matrix after transformation, therefore, the err4 values becomes inf for all.
h = 120;
v = 80 ;
r=20;
row = 200;
col = 300;
T = [1 0 0;
0 1 0;
h v 1];
tform = affine2d(T);
%create mask
a4 = zeros(row,col);
%set one control point (cp) for mask
a4(row/5*4,col/5*4) = 1;
cb_ref = imref2d(size(a4));
%Apply transformation same as ourput floating image.
b4 = imrotate(a4,r);
b4 = imwarp(b4,tform,'OutputView', cb_ref); % refrence space relative with another image.
%calculte the error matrix
err4 = bwdist(b4);
How can allow the matrix to grow after transformation to keep the 1-pixel?
5 commentaires
Mohammad Al Nagdawi
le 3 Mar 2018
Mark Hayworth
le 3 Mar 2018
Modifié(e) : Mark Hayworth
le 3 Mar 2018
Doesn't run. What is "r" and "cb_ref"?
Mohammad Al Nagdawi
le 3 Mar 2018
Image Analyst
le 3 Mar 2018
That doesn't help. Without code to define cb_ref, we can't run your code, and the comments aren't enough for me to figure out what's happening. So all I can say now is to make sure that b4 is a 2-D logical (binary) image.
Mohammad Al Nagdawi
le 3 Mar 2018
Réponses (1)
Image Analyst
le 4 Mar 2018
I don't know what your plans are for the warping, but after you warped the image, the dot disappeared:
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
clear; % Erase all existing variables. Or clearvars if you want.
workspace; % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 15;
h = 120;
v = 80 ;
r=20;
row = 200;
col = 300;
T = [1 0 0;
0 1 0;
h v 1];
tform = affine2d(T);
%create mask
a4 = zeros(row,col);
%set one control point (cp) for mask
a4(row/5*4,col/5*4) = 1;
% Display the image.
subplot(2, 2, 1);
imshow(a4, []);
title('a4 Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0, 0.04, 1, 0.96]);
% Apply transformation same as output floating image.
b4 = imrotate(a4, r);
% Display the image.
subplot(2, 2, 2);
imshow(b4, []);
title('b4 Image', 'FontSize', fontSize, 'Interpreter', 'None');
cb_ref = imref2d(size(a4));
b4 = imwarp(b4, tform, 'OutputView', cb_ref); % reference space relative with another image.
% Calculate the error matrix
% Display the image.
subplot(2, 2, 3);
imshow(b4, []);
title('b4 Warped Image', 'FontSize', fontSize, 'Interpreter', 'None');
err4 = bwdist(b4);
% Display the image.
subplot(2, 2, 4);
imshow(err4, []);
title('err4 Image', 'FontSize', fontSize, 'Interpreter', 'None');

7 commentaires
Mohammad Al Nagdawi
le 5 Mar 2018
Image Analyst
le 5 Mar 2018
Correct. Though if the point to find the distance to is not anywhere to be found, one could also make an argument that the values should be nan. Why did you want to do that anyway? What's the point of it?
Mohammad Al Nagdawi
le 5 Mar 2018
Image Analyst
le 5 Mar 2018
Then why are you using bwdist?
Mohammad Al Nagdawi
le 5 Mar 2018
Image Analyst
le 6 Mar 2018
But it's new position is not in the image. You did something after rotation so that the point is not there. That's what my demo showed.
Mohammad Al Nagdawi
le 8 Mar 2018
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