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Color Models

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• Author: Diego Inácio
• GitHub: github.com/diegoinacio
• Notebook: color_models.ipynb

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A brief overview of the main color models with interactive visualization.

from color_model_plot import *

import numpy as np
from PIL import Image

from _utils import *

0. Input image

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img_in = Image.open('../_data/babuino.png')
img_in = img_in.resize((128, 128), Image.ANTIALIAS)
img_in = np.asarray(img_in)/255

summary(img_in)

                          R               G               B
       min:          0.0706          0.0431          0.0039
  1st Quar:          0.3882          0.3804          0.2824
    median:          0.5137          0.5059          0.3961
      mean:          0.5391          0.5056          0.4438
  3rd Quar:          0.6588          0.6314          0.5608
       max:          0.9961          0.8392          1.0000
     sigma:          0.2009          0.1595          0.2215

histogram(img_in, interval=[0, 1])

1. RGB color model

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Color model based on the cartesian coordinates, where each primary color is represented by an axis.

N1, N2, C = img_in.shape
RGB = img_in.reshape(-1, C)

plotRGB(RGB)