python In [2]:I image.shapeOut[2]: (300, 451, 3)Task 1: Converting from RGB to Gray Scale ImageCreate the gray scale image, represented by the 2D Numpy array image_gray from the RGB image tensor image above.To do this, for each pixel (i,j), you can use the formulaYij = 0.2125 x R;j + 0.7154 × G¡j + 0.0721 × Bij,where Y;; denotes the intensity of that pixel in gray scale image image_gray , and R;j, Gij, Bij denotes the intensity of that pixel in the RGB imagerespectively.Of course in your code you're encouraged to use array implementations/functions instead of looping through every pixel.In [3]:I # write your code to generate the array image_gray hereplease rerun your code before submission# you can then use the following code to show the gray scale imageplt.imshow(image_gray,plt.get_cmap('gray'))Out[3]: 50100150 Cjupyter homework_4 (autosaved)LogoutFileEditViewInsertCellKernelWidgetsHelp|Python 3 ONot TrustedRun I C »CodeFor this homework, you should write your code with basic Python or Numpy, and are not allowed to use any other packages/functions for imageprocessing or scientific computing.Load the imageYou can use the following codes to load the image. You're required to use this image throughout this homework.In [1]:I import numpy as npimport matplotlib.pyplot as pltfrom skimage import dataimage = data.chelsea()plt.imshow (image)Out[1]: 50100150200250100200300400image is a 3-d Numpy array, where the axis 0 and 1 correspdonds to 2D pixels, and axis 2 corresponds to RGB channels.In [2]:I image.shape

Answered: Task 1: Converting from RGB to Gray…

Engineering

Computer Science

Task 1: Converting from RGB to Gray Scale Image

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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