Обработка изображений: векторы пикселей, гистограмма, функция плотности вероятности ⇐ Python

[Anonymous]

Код: Выделить всё

# import necessary packages

# reading/writing image files
from skimage import io
from skimage import color

# displaying images and plots
import matplotlib as mpl
import matplotlib.pyplot as plt

# array operations
import numpy as np

# mathematical calculations
import math

# data frame operations
import pandas as pd

# STEP 2 Define a vector source by combining two consecutive pixels
#        and calculate the probabilities of these vector symbols

# ADD YOUR CODE HERE

# notes:
# since each pixel has 8 intensity levels, there will be 8x8 = 64 symbols in the vector source.
# the symbols for the vector source could be represented as "aa, ab, ac, ..., hf, fg, hh."
# there are a total of 512*512/2 = 131,072 sample vectors in the input image to calculate the histogram

# calculate the histogram of the vector symbols

# obtain the pdf by normalizing the histogram

# plot the pdf of this vector source

У меня есть квантование имени изображения imgLumQuan. Можете ли вы помочь мне сделать это?


Подробнее здесь: https://stackoverflow.com/questions/785 ... y-function