计算灰度图像的偏度和峰度

Question

Is it possible to calculate the skewness and kurtosis of a grayscale image just using the functions

scipy.stats.kurtosis 
scipy.stats.skew

When I applied it showed an array and not a single value. Is that correct?

Answer 1

For grayscale image use this code:

from skimage import color
from skimage import io

im = color.rgb2gray(io.imread('Grayscale_image.png'))

from scipy.stats import skew, kurtosis

skew(im.reshape(-1))
kurtosis(im.reshape(-1))

Answer 2

if I understood you, this code is for calculate skewness and kurtosis for one of the colors:

import scipy
import cv2

im = cv2.imread("image.jpg")

from scipy.stats import skew, kurtosis

colon_number = 0

print(skew(im.reshape(-1,3)[:,colon_number]))
print(kurtosis(im.reshape(-1,3)[:,colon_number]))