class BinaryImage:       def __init__(self):           pass             def compute_histogram(self, image):           """Computes the histogram of the input image           takes as input:           image: a grey scale image           returns a histogram as a list"""                 hist = [0]*256                 return hist             def find_otsu_threshold(self, hist):           """analyses a histogram it to find the otsu's threshold assuming that the input hstogram is bimodal histogram           takes as input           hist: a bimodal histogram           returns: an optimal threshold value (otsu's threshold)"""                 threshold = 0                 return threshold             def binarize(self, image):           """Comptues the binary image of the the input image based on histogram analysis and thresholding           take as input           image: an grey scale image           returns: a binary image"""                 bin_img = image.copy()                 return bin_img

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question

class BinaryImage:

 

    def __init__(self):

 

        pass

 

 

 

 

    def compute_histogram(self, image):

 

        """Computes the histogram of the input image

 

        takes as input:

 

        image: a grey scale image

 

        returns a histogram as a list"""

 

 

 

 

        hist = [0]*256

 

 

 

 

        return hist

 

 

 

 

    def find_otsu_threshold(self, hist):

 

        """analyses a histogram it to find the otsu's threshold assuming that the input hstogram is bimodal histogram

 

        takes as input

 

        hist: a bimodal histogram

 

        returns: an optimal threshold value (otsu's threshold)"""

 

 

 

 

        threshold = 0

 

 

 

 

        return threshold

 

 

 

 

    def binarize(self, image):

 

        """Comptues the binary image of the the input image based on histogram analysis and thresholding

 

        take as input

 

        image: an grey scale image

 

        returns: a binary image"""

 

 

 

 

        bin_img = image.copy()

 

 

 

 

        return bin_img

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