USE PYTHON THANKS InstructionsEach image-processing function that modifies its imageargument has the same loop pattern for traversing theimage. The only thing that varies is the code used tochange each pixel within the loop.The topic of higher-order functions, discussed in chapter6, suggests a simpler design pattern for such code.●Design a single function, named transform, whichexpects an image and a function as arguments.• When this function is called, it should be passed byanother function that expects a tuple of integers andreturns a tuple of integers. This is the function thattransforms the information for an individual pixel (suchas converting it to black and white or gray-scale)• The transform function contains the loop logic fortraversing its image argument.• In the body of the loop, the transform functionaccesses the pixel at the current position, passes it asan argument to the other function, and resets the pixelin the image to the function's value.Write and test a script that defines this function and usesit to perform at least two different types of transformationon an image.GradingWhen you have completed your program, click the Submitbutton to record your score. images.py1 ***2 File: transform.py3 Project 7.124smokey.gif5 Defines a transform function that represents a general6 pattern for traversing an image and modifying its pixels.71415 def transform(image, function):1617181920 def grayscale (image):212223242526272829303132338 Tests this function by using it to define grayscale and9 black and white functions.10 """1112 from images import Image136263"""Traverses the image and resets each pixel with the resultof applying the function to it."""pass"""Converts an image to grayscale using thepsychologically accurate transformations. """def change (triple):"""Converts a pixel to grayscale."""(r, g, b) = tripler = int(r * 0.299)g= int(g* 0.587)b = int(b* 0.114)lum = r + g + breturn (lum, lum, lum)transform(image, change)3435 def blackAndWhite (image):3637383940414243444546474849 def main():505152535455 if __name__ == "__main__":56try:5758596061transform.py"""Converts an image to black and white."""def change (triple):"""Converts a pixel to black and white."""(r, g, b) = tripleaverage(r + g + b) // 3128:if averageelse:return (0, 0, 0)return (255, 255, 255)transform(image, change)filename=input("Enter the image file name: ")image Image (filename)grayscale (image)image.draw()while True:main()+except KeyboardInterrupt:print("\nProgram closed.")

Answered: USE PYTHON THANKS

Engineering

Computer Science

USE PYTHON THANKS

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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Answer the given question with a proper explanation and step-by-step solution. Each image-processing function that modifies its image argument has the same loop pattern for traversing the image. The only thing that varies is the code used to change each pixel within the loop. Design a single function, named transform, which expects an image and a function as arguments. When this function is called, it should be passed by another function that expects a tuple of integers and returns a tuple of integers. This is the function that transforms the information for an individual pixel (such as converting it to black and white or gray-scale) The transform function contains the loop logic for traversing its image argument. In the body of the loop, the transform function accesses the pixel at the current position, passes it as an argument to the other function, and resets the pixel in the image to the function’s value. Write and test a script that defines this function and uses it to perform at…
Please summarize the following paragraph below. You can do it in jot notes. the paragraph below are about how you can use fractal techniques for facial recognition the number number if brackets are for the images below ractal theory of iterated contractive transformation has been used in several areas of image processing and computer vision. In this method, similarity between different parts of an image is used for representing of an image by a set of contractive trans- forms on the space of images, for which the fixed point is close to the original image. This concept was first proposed by Barnsley (9) (11) . Jacquin was the first to publish an implementation of fractal image coding in (11) Despite the number of researchers and the proposed methods, several factors can significantly affect face recognition performances, such as the pose, the presence/absence of structural components, facial expressions, occlusion, and illumination variations. Different image compression methods…
What is vector imaging and how does it work? Give an example to elucidate your point? What are the file extensions that are used for vector images?
Although the plot function is designed primarily for plotting standard xy graphs, it can be adapted for other kinds of plotting as well. b. Make a plot of the curve, which is defined parametrically by the equations x = 2cosθ + cos2θ, y = 2sinθ - sin2θ, where 0 < θ < 2π. Take a set of values of θ between zero and 2π and calculate x and y for each from the equations above, then plot y as a function of x. b. Taking this approach a step further, one can make a polar plot r = f(θ) for some function f by calculating r for a range of values of θ and then converting r and θ to Cartesian coordinates using the standard equations x = r cosθ, y = r sinθ. Use this method to make a plot of the function r = ecosθ – 2 cos(4θ) + sin5 (θ/12) in the range 0 <= θ <= 24π. use python code to answer the highlight one
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The question is on the attached image. grayscale function code: from images import Image def grayscale1(image): """Converts an image to grayscale using the psychologically accurate transformations.""" for y inrange(image.getHeight()): for x inrange(image.getWidth()): (r, g, b) = image.getPixel(x, y) r = int(r * 0.299) g = int(g * 0.587) b = int(b * 0.114) lum = r + g + b image.setPixel(x, y, (lum, lum, lum))
Suppose a line segment starts at (x0, y0) and ends at (x1, y1) where, x0, y0, x1 and y1 are sequentially the first, second, third and fourth pair of digits from the left in your student ID. STUDENT ID: 21341040 Q:- Simulate the midpoint line drawing algorithm to find the first four intermediary pixels of this line after (x0, y0); or, all of them if the line reaches (x1, y1) in less than four pixels.
Exist any benefits or drawbacks to utilizing state-space representation?
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My student said that the abstract designs of the three primary page replacement algorithms (FIFO, LRU, and optimum) are similar, with the exception of the characteristic utilized to choose the page to be replaced. I was of the contrary view.(a) Which characteristic of the FIFO algorithm are you referring to? (c) What is the name of the algorithm you're referring to? What is the LRU algorithm and how does it function? What is the pptimal algorithm in its simplest form?The general method for these page replacement schemes must be stated in the specification (b).
TODO 7 To start off, we can plot each feature against every other feature just to see if there are any trends between features. We can easily do so by using Pandas plotting. WARNING: Plotting the scatter matrix can take awhile Use Panda's scatter_matrix() function (docs) to plot a scatter matrix. Pass forestfire_df as input and figsize=(15, 15) as an additional argument. # TODO 7.1 plt.show()
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