Grayscale image = Max(RGB)
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Please take a look at attached photo.
i was asked to get the RGB's max pixel for the gray scale.
how do i do that?
gray = max(RGB)
1 Kommentar
Image Analyst
am 28 Okt. 2022
Here is the photo from photobucket.

Antworten (3)
Walter Roberson
am 4 Okt. 2012
I might be misinterpreting, but I think you are asking for
grayImage = max(YourImage, 3);
8 Kommentare
Adela
am 4 Okt. 2012
Jan
am 4 Okt. 2012
@Adela: Exactly. And this is what Walter's code does.
Perhaps you want to divide by 255 afterwards?
Btw, who is "he"?
Adela
am 4 Okt. 2012
Image Analyst
am 4 Okt. 2012
Bearbeitet: Image Analyst
am 4 Okt. 2012
It's probably to get the background image to do a "flat field" correction. For the blue ink pixels, the max will most likely be the red channel and the blue text won't show up, so this will get you a grayscale version of the image without the ink. Then you can divide by that max image (the background image) to "background-correct" the image. It's a simple way for you students, but there are probably some more accurate (less noisy) ways of doing it, but this is fine for instructional purposes and to just illustrate the concept.
Adela
am 4 Okt. 2012
Image Analyst
am 4 Okt. 2012
You're right - I misspoke.
Jan
am 4 Okt. 2012
@Adela: You professor is payed for explaining such details. Ask him. He will remember your activity and curiosity.
Adela
am 4 Okt. 2012
Adam Mackay
am 28 Okt. 2022
0 Stimmen
Max RGB selects the channel with the highest decimal value
Ie: 128, 10, 35 would become 255,0,0 since the red channel has the highest value
In the case of grey scale or grey images
you would normally have all channels equal, for example
127,127,127, in which case there are no channels with the heighest value, so for that particular pixel the values would remain the same for all channels (unchanged)
An example can be observed in this image, in which the colour of the jumper or sweater remains grey for a large portion of it.
Image Analyst
am 28 Okt. 2022
Here is code with all the methods discussed here:
rgbImage = imread('peppers.png');
subplot(2, 2, 1);
imshow(rgbImage);
impixelinfo;
title('Original Image');
% Get the max for each pixel, and the channel in which the max occurs.
[grayImage, channelImage] = max(rgbImage, [], 3);
subplot(2, 2, 2);
imshow(grayImage);
impixelinfo;
title('Max of each color channel');
subplot(2, 2, 3);
imshow(channelImage, []);
impixelinfo;
title('Channel where max value is');
% Assign the 1's to red, 2's to green, and 3's to blue.
z = zeros(size(rgbImage, 1), size(rgbImage, 2), 'uint8');
r = 255 * uint8(channelImage == 1);
g = 255 * uint8(channelImage == 2);
b = 255 * uint8(channelImage == 3);
rgbImageMax = cat(3, r, g, b);
subplot(2, 2, 4);
imshow(rgbImageMax, []);
impixelinfo;
title('MAX image (Adam''s definition)');

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