How to normalize negative values in column vector
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Matlab 2015a
Hello, I have a column vector of 180 elements, with min(vector) = -1.6010 and max(vector) = 0.3894. when I apply normc(vector), and find min(vector) = -0.1318 and max(vetor) = 0.0321 for which I except the values to be in between 0 and 1. How to resolve this ??
When I am having positive values I do for ranging between 0 to 1
normalized_vector = (vector -min(vector)).max(vector);
but its not working with the negative values.
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Image Analyst
2016-8-17
If you have the Image Processing Toolbox, you can simply use mat2gray:
normalizedVector = mat2gray(vector);
Now normalizedVector will go from 0 to 1. Otherwise, if you are so unfortunate as to not have one of the best toolboxes out there, just scale as you normally would:
normalizedVector = (vector - min(vector)) / (max(vector)-min(vector));
2 个评论
Image Analyst
2016-8-17
I don't know. normc() is not a built in function for any of the toolboxes that I have so I don't know what it does.
Both of the statements I give you will give the same results. Both map the min to 0 and the max to 1 and it's linearly scaled in between. I think mat2gray() is the simplest, but you can use whichever one you want.
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