I have a ct image that values of pixel of it is between 0-4000 how can I convert it to an image with 0-255 ?

I have a ct image that values of pixel of it is between 0-4000 how can I convert it to an image with 0-255 ?

2 个评论

ok thanks
I think I ask my question in an other way... I should ask:how can I convert HU(hounsfield units 0-4095) to grayscale(0-255)...
img = double(HU);
img = img - min(img(:));
maximum = max(img(:));
grayscale = (img / maximum) * 255;

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 采纳的回答

There is a function that scales an array to 0-1. It's called mat2gray. Then just multiply by 255.
image8bit = uint8(255 * mat2gray(image16bit));

4 个评论

oh Image Analyst
always you give me a simple but best way ...thanks
Can you please officially "Accept" some of them then? Thanks in advance.
Dear Image Analyst,
yesterday I asked the same question. Your solutions are always the best. Thank you.
There is now another way, using the new rescale() function:
grayImage = uint16([10, 4000, 65535]) % Sample uint16 image.
b8 = rescale(grayImage, 0, 255) % If you want double
class(b8)
b8 = uint8(rescale(grayImage, 0, 255)) % If you want uint8
class(b8)
grayImage =
1×3 uint16 row vector
10 4000 65535
b8 =
0 15.528 255
ans =
'double'
b8 =
1×3 uint8 row vector
0 16 255
ans =
'uint8'

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更多回答(2 个)

If the image is stored as double, then Yawar's answer is correct. If your image is stored as uint16, then it won't work, you'll have to convert the image to double first.
For most image processing function to work correctly on an image in the range 0-255, it needs to be of type uint8. If the type is double, most functions assume the range 0-1.
The following is guaranteed to work:
img8bit = im2uint8(double(img) / 4000);
This is equivalent to:
img8bit = uint8(double(img)/4000 * 255);

3 个评论

So then, how to convert it back to the original size ? just make it like this :
return16bit = im2uint16(img8bit);
??
I'm not sure what you mean by original size. The size of the image isn't changed, just the intensity range and the type.
If you want to go back from a uint8 image to an image in the range 0-4000:
img12bitish = double(img8bit) / 255 * 4000;
%or to store it as uint16
img12bitish = uint16(double(img8bit) / 255 * 4000);
Your code return16bit = im2uint16(img8bit) will convert the image to the range 0-65535.
I have tried your code.
[1] img12bitish = double(img8bit) / 255 * 4000; %it might return to the original range but the original value has been changing.
For the word of "size", I mean range. Sorry, I just wrong to use the word.

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