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How to incorporate scatter function so that the lines of the image don't print on top of one another
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I have this code to take x.y,z coordinates to make an x-ray image. The lines of the image just print on top of one another. I want to use the scatter function so that the lines of the image make a full picture. How and where would I add this?
Here is my code:
data = readmatrix('C:\Users\devineh\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);
%Normalize points
x = round(x - min(x) + 1);
y = round(y - min(y) + 1);
%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');
2 Kommentare
Image Analyst
am 29 Jun. 2024
If you have any more questions, then attach your data ('C:\Users\devineh\Chest_XRay_Raw_Data.txt') with the paperclip icon after you read this:
Antworten (1)
Walter Roberson
am 28 Jun. 2024
You are not going to be able to do what you want. Your data points are not at integer locations relative to each other; they are 0.17 apart in X.
1 Kommentar
Walter Roberson
am 29 Jun. 2024
One possibility would be to use something like
N = 256;
x = data(:,1);
y = data(:,2);
grayscale = data(:,4);
[minx, maxx] = bounds(x);
[miny, maxy] = bounds(y);
binx = discretize(x, linspace(minx, maxx, N));
biny = discretize(y, linspace(miny, maxy, N));
for i = 1 : length(binx)
gray_image(binx(i), biny(i)) = grayscale(i));
end
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