how can I handle colors

hello I have a code that turns my image of black and white in color but I am stuck at the level of color segment I want the red part to be black

(attached image)

function [ ] = imageLabels(image)
figure,imagesc(image)
colormap(hsv)
axis image;
hold on;
for K = 1 : 4; hidden_h(K) = surf(uint8(K-[1 1;1 1]), 'edgecolor', 'none'); end
hold off
uistack(hidden_h, 'bottom');
legend(hidden_h, {'tree','rock','water'} )
axis off;
end

[Jan]

What is "black an blan"? What is a "level of color segment"? You want "the red part to be black". I do not see any command in the attached code, which cares about anything on red. So what is "the red part"?

[dakhli mohamed]

my starting image is black and white after code execution i want the white part to turn green and the black part to remain black instead of to be colored on red

[Jan]

What does "black and white" exactly mean: Is it a LOGICAL array, or a double array containing 0 and 1 only. Or does "black and white" mean gray scale? Or is it a 3D RGB array, which contains [0,0,0] and [1,1,1] only? Or an indexed image?

It would be much easier to work with RGB arrays instead of using a HSV colormap.

This means: I do not understand the question yet. Converting a grey scale image to an RGB image with white getting green is very easy. But to post working code, the type of the inputs must be clear.

[dakhli mohamed]

it's a satellite image( attached) it's black and white I want the part on white is green, it's simply

[Jan]

I cannot open your MAT file, because I do not access to Matlab currently. It would be really simple, if you post the class, the size and the range of the array.

[dakhli mohamed]

2 class

190 * 190 table size

the values between 0 and 1

[Jan]

You can get the class of a variable by using

class(v)

This will be singlem double, uint8 etc.

The term "table" might be confusing: Is this a table object?

[Stephen23]

190x190 double, inappropriately named ans, and with values ranging from 0 to 1.

[Guillaume]

Judging by the files and variable names, I would think the question is related to 441221-fusion-of-satellite-images

Answer 1

[Guillaume]

Possibly, this will do what you want:

matcontent = load('C1fig.mat');  %load ans variable (bad name!) as matcontent.ans
greyimage = matcontent.ans;      %the grey image as a 2D matrix in the range 0-1
greenimage = cat(3, zeros(size(greyimage)), greyimage, zeros(size(greyimage)));  %make the greyimage the 2nd channel of a RGB image
imshow(greenimage);

[dakhli mohamed]

thank you Guillaume