I am using pi with raspbian wheezy and python 2.7. I have an image in jpg format which I can read and convert to array. But I want to convert the image from RGB color model to HSI color model and then plot a histogram for the hue saturation and intensity parameters of the HSI image. I have tried to plot but I'm not sure about the accuracy of my results. I have included the code. Can anyone tell me how I can verify the output of my program.
import scipy
from scipy import ndimage
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import numpy as np
from scipy import misc
import scipy.misc
img = scipy.misc.imread("/home/subhradeep/Desktop/ref.jpg")
array=np.asarray(img)
arr=(array.astype(float))/255.0
img_hsv = colors.rgb_to_hsv(arr[...,:3])
lu1=img_hsv[...,0].flatten()
plt.subplot(1,3,1)
plt.hist(lu1*360,bins=360,range=(0.0,360.0),histtype='stepfilled', color='r', label='Hue')
plt.title("Hue")
plt.xlabel("Value")
plt.ylabel("Frequency")
plt.legend()
lu2=img_hsv[...,1].flatten()
plt.subplot(1,3,2)
plt.hist(lu2,bins=100,range=(0.0,1.0),histtype='stepfilled', color='g', label='Saturation')
plt.title("Saturation")
plt.xlabel("Value")
plt.ylabel("Frequency")
plt.legend()
lu3=img_hsv[...,2].flatten()
plt.subplot(1,3,3)
plt.hist(lu3*255,bins=256,range=(0.0,255.0),histtype='stepfilled', color='b', label='Intesity')
plt.title("Intensity")
plt.xlabel("Value")
plt.ylabel("Frequency")
plt.legend()
plt.show()