In Python 3.6: I had posted this question before, but never recieved an answer.

Question

In Python 3.6: I had posted this question before, but never recieved an answer. Please help, this is due today. We are using Python 3.6 and I have also provided the links below to download the binary file (image_matrix) and the helper module to complete this assignment. We need to create two functions according to the homework. The only thing that I have figured out how to do so far is simply how to read in the binary file using pickle. Please write simple functions and not too advanced because we have not covered a lot of the advanced topics yet.

The binary file is called image_matrix and can be download here, I have also verified that the link works by downloading the file myself: https://expirebox.com/download/9abb6a40db04bfd64446d1b6c92fdad4.html

The helper module, hist_machine, can be downloaded here and I have also tried downloading and it works: https://expirebox.com/download/4f79c767369f83b6f5605c0dddc26488.html

Background One way to visualize the distribution of pixel intensities in a digital image is with a his- togram. A histogram of pixel intensities for 32-bit images is a bar chart with x axis containing values between 0 and 255 and y axis displaying the count (or frequency) of each of those values. The general idea: In a 32-bit image, each color channel (R, G, B) of each pixel has a certain intensity, measured between 0 and 255. For each color channel we want to group together the intensities in so-called bins. (This is known as i nage binning) One basic scheme is to use four bins: Bin 1: 0 to 63 Bin 2: 64 to 127 Bin 3: 128 to 191 Bin 4: 192 to 255 As an example, let's examine the following four pixels: (54, 54, 54), (232, 23, 93), (71, 71, 71), (168, 167, 167) If we just look at the green channel, the first pixel with green intensity 54 goes in the first bin. The second pixel with green intensity 23 also goes in the first bin. The third pixel with green intensity 71 goes in the second bin. The fourth pixel with green intensity 167 goes in the third bin. Nothing goes in the fourth bin. 0 to 63 64 to 127 128 to 191 192 to 255 2 1 1

Explanation / Answer

# main.py

# ====

import pickle

import hist_machine as hp

def binit(color_bins, color_value):

"""Places the color in appropriate bin of values."""

if (color_value < 64):

color_bins[0] += 1

elif (color_value > 63 and color_value < 128):

color_bins[1] += 1

elif (color_value > 127 and color_value < 192):

color_bins[2] += 1

elif (color_value > 191):

color_bins[3] += 1

return None

def img_to_dict(image_name):

# Dictionary to hold all color bins.

rgb_dict = {

'red': [ 0, 0, 0, 0 ],

'green': [ 0, 0, 0, 0 ],

'blue': [ 0, 0, 0, 0 ]

}

# Open file and un-pickle.

file_handle = open(image_name, 'rb')

image_object = pickle.load(file_handle)[0]

# Iterate over all pixels and bin the colors

for rgb_tuple in image_object:

binit(rgb_dict['red'], rgb_tuple[0])

binit(rgb_dict['green'], rgb_tuple[1])

binit(rgb_dict['blue'], rgb_tuple[2])

return rgb_dict

def main():

img = img_to_dict('image_matrix')

hp.hist_plotter(img['red'],img['green'],img['blue'])

main()

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