Adjusting CData to match CLim for grayscale Image
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I have a grayscale image in a figure displayed through imshow. I adjust the axes CLim limits [a b] to improve it's contrast to desired levels. How can I adjust the image matrix (CData) to match the image displayed by my CLim limits? I've tried imadjust function i.e. Image2=imadjust(Image1,[a b],[]) , but the resultant Image2 contrast doesn't look like the one displayed by CLim limits [a b].
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Accepted Answer
Walter Roberson
on 21 Apr 2016
t = double(max(min(Image1, b),a));
adjusted_image = (t - a) / (b - a);
now adjusted_image is in the range 0 (corresponding to a) to 1 (corresponding to b). Remember to caxis([0 1])
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Image Analyst
on 21 Apr 2016
What are you trying to do? If you want to stretch contrast, you can pass in the values you want for black and white into imshow(). Or else call caxis(). I don't understand why you would ask what you asked.
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