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scale_array.py
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scale_array.py
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#!/usr/bin/env python3
import numpy as np
def scale_array(x, lower=0, upper=1):
"""
This program scale the input to be from lower to upper or from 0 to 1 if not lower and upper are given.
args:
x: input array
lower: lower limit of the scaled array, default is 0
upper: upper limit of the scaled array, default is 1
returns:
out: scaled array
"""
if type(x) is int:
x = np.single(x)
if lower > upper:
temp = lower
lower = upper
upper = temp
x = np.squeeze(x)
mn = np.min(x)
mx = np.max(x)
mrange = mx - mn
if mrange < 1e-8:
print('There is almost no feature in the input array.')
out = x / mx
else:
out = (x - mn) / mrange * (upper - lower) + lower
return out
def scale_image(data):
return scale_array(data, 0, 255)
if __name__ == "__main__":
import scipy.io
import numpy as np
a = scipy.io.loadmat('data/image.mat')
b = a['img']
b1 = scale_array(b, 0, 255)
scipy.io.savemat('test_output/test_scale.mat', {'img': b, 'b1': b1})