MATLAB: Normalize an image from 0 to 1

im2doubleimage processingImage Processing Toolboximagesmat2graynormalizenormalizing

Im trying to normalize an image from 0 to 1,after having used rgb2gray. However using mat2gray and im2double is only giving me 0 and 1 values, nothing in between. I also need to use the equation (I-min(I))/(max(I)-min(I)) and somehow I still can only get zeros and ones.

Best Answer

mat2gray() and rescale() will both work. If you're only getting 0 and 1 then you have only two gray levels in your image. Post your image so I can check it.

Related Solutions

MATLAB: Image Normalization in the range 0 to 1

Use mat2gray() or im2double(). Hopefully you have the image processing Toolbox.

normImage = mat2gray(yourImage);
normImage = im2double(yourImage);

Also look at stretchlim() and imadjust().

MATLAB: Imnoise normalization

Dear Matlab community,

so after several trial and error using imnoise and rethinking my orginal question over again, i think the function imnoise is not suitable when your image includes negative values which you would like to "preserve" after noise addition.

For example if you would use a imnoise with a 'gaussian' with a mean value close to zero, say 0.01, and then use a sigma of 0.1 , pixel values that lie below zero will be truncated to zero. This means that after you scale back your image you would have a trend toward higher pixel values since the "negative truncated pixels are not there". That is why in this case the mean gray value of the noisy image will be larger than the one in the noiseless image.

Regards,

Jaime

Best Answer

Related Solutions

MATLAB: Image Normalization in the range 0 to 1

MATLAB: Imnoise normalization

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