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Not getting a full image from raw data

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Hayley Devine
Hayley Devine el 25 de Jun. de 2024
Locked: Rena Berman el 10 de Jul. de 2024
I am trying to make an Xray image using x, y, and z coordinates of raw data. Here is what I have:
data = readmatrix('Chest_XRay_Raw_Data.txt');
% Extract x, y, z coordinates and grayscale values
x = data(:,1);
y = data(:,2);
z = data(:,3); % If needed, otherwise ignore
grayscale = data(:,4);
%Find bounds
x_range = min(x):max(x);
y_range = min(y):max(y);
% Initialize the image matrix
image = zeros(length(y_range), length(x_range));
% Populate the image matrix with grayscale values
for i = 1:length(x)
x_idx = find(x_range == x(i));
y_idx = find(y_range == y(i));
image(y_idx, x_idx) = grayscale(i);
end
%normalize image
image = mat2gray(image);
% Display the image
imshow(image);
title('Reconstructed Image from Raw Data');
Raw data example:
+4.23789300E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.23619400E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.23449400E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.23279500E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.23109600E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.22939700E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.22769700E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.22599800E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.22429900E+002, +0.00000000E+000, +0.00000000E+000, +420
An image window pops up with only one solid line with a little blank space in the middle. Any suggestions to fix this?
  3 comentarios
Voss
Voss el 25 de Jun. de 2024
Editada: Voss el 25 de Jun. de 2024
How about if you compress it to a zip archive, or copy and paste the first ten thousand or so lines of text into a new text file and upload that?
Rena Berman
Rena Berman el 10 de Jul. de 2024

(Answers Dev) Restored edit

Respuestas (1)

Walter Roberson
Walter Roberson el 25 de Jun. de 2024
x_range = min(x):max(x);
y_range = min(y):max(y);
That code assumes that most of the x and y are integers (or at least integers plus a constant offset).
+4.23789300E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.23619400E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.23789300E+002 is not an integer. +4.23619400E+002 is not an integer either -- and it is not the same constant offset relative to the other non-integer.
  1 comentario
Walter Roberson
Walter Roberson el 26 de Jun. de 2024
is there a command o fix this?
Not without a lot of assumptions.
You would need to find the common divisor between the differences in values, and scale everything by that common divisor.
format long g
A = [+4.23789300E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.23619400E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.23449400E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.23279500E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.23109600E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.22939700E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.22769700E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.22599800E+002, +0.00000000E+000, +0.00000000E+000, +420
+4.22429900E+002, +0.00000000E+000, +0.00000000E+000, +420];
udA = unique(diff(sort(A(:,1))))
udA = 4x1
0.169899999999984 0.169900000000041 0.169999999999959 0.170000000000016
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you would have to scale by something that divides each of those.
Unless you are willing to round to the nearest 0.17...
RA = round(A(:,1)/0.17)
RA = 9x1
2493 2492 2491 2490 2489 2488 2487 2486 2485
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take the max() and min() of urA as the range of values,
[minRA, maxRA] = bounds(RA);
sRA = RA - minRA + 1
sRA = 9x1
9 8 7 6 5 4 3 2 1
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