How to visualise data value with x-y coordinate in an image

Hello, suppose I have x-y coordinate and z value as the grades of the points. How can I visualize my data in 2-D colormap ? (I want to show x-y cordinate and different colors for different values at every points inside the image). I am attachng sample data text file and regarding image.
Please help.

2 Comments

I suspect you want griddedInterpolant()
Along with a colormap such as 'hot' or perhaps 'autumn'
yes. I found I need to interpolate to and a matrix should be created for [x,y, data]. only then I can make an image. Thank you sir for your idea.

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Answers (1)

Try something like
data = dlmread(filename, ' ');
x = data(:, 1);
y = data(:, 2);
grayLevel = data(:, 3);
grayImage = zeros(ceil(max(y)), ceil(max(x)));
for k = 1 : length(x)
row = round(y(k));
col = round(x(k));
grayImage(row, col) = grayLevel(k);
end
grayImage = mat2gray(grayImage);
imshow(grayImage, 'ColorMap', jet(256));
colorbar;

4 Comments

Sir, it only shows a blue screen. There is no image.
Try []:
imshow(grayImage, [], 'ColorMap', jet(256));
sir, again only the blue screen.
Not only the blue, but for most of them. There are 181 pixels that are not zero. But most of your image locations do not have a gray level defined for them, so they are left as zero and appear as blue.
data = dlmread('md1.txt', ' ');
x = data(:, 1);
y = data(:, 2);
grayLevel = data(:, 3);
grayImage = zeros(ceil(max(y)), ceil(max(x)));
for k = 1 : length(x)
row = max([1, round(y(k))]);
col = max([1, round(x(k))]);
grayImage(row, col) = grayLevel(k);
fprintf('Assigning %d to row %d, column %d.\n', grayLevel(k), row, col);
end
minGL = min(grayImage(:))
maxGL = max(grayImage(:))
grayImage = mat2gray(grayImage);
imshow(grayImage, [], 'ColorMap', jet(256));
colorbar;

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R2018a

Asked:

on 14 Sep 2019

Commented:

on 16 Sep 2019

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