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Flood Fill Description: An image is represented by a 2-D array of integers, each integer representing the pixel value of the image (from 0 to 65535).

Flood Fill Description: An image is represented by a 2-D array of integers, each integer representing the pixel value of the image (from 0 to 65535).

Computer Networking: A Top-Down Approach (7th Edition)
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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Flood Fill Description: An image is represented by a 2-D array of integers, each integer representing the pixel value of the image (from 0 to 65535). Given a coordinate (sr, sc) representing the starting pixel (row and column) of the flood fill, and a pixel value newColor, "flood fill" the image. To perform a "flood fill", consider the starting pixel, plus any pixels connected 4-directionally to the starting pixel of the same color as the starting pixel, plus any pixels connected 4-directionally to those pixels (also with the same color as the starting pixel), and so on. Replace the color of all of the aforementioned pixels with the newColor. Return the modified image. Example Input: image = [ [1, 1, 1], [1, 1, 0], [1, 0, 1] ] sr = 1, sc = 1, newColor = 2 Output: [ ] [2, 2, 2], [2, 2, 0], [2, 0, 1]
Transcribed Image Text:Flood Fill Description: An image is represented by a 2-D array of integers, each integer representing the pixel value of the image (from 0 to 65535). Given a coordinate (sr, sc) representing the starting pixel (row and column) of the flood fill, and a pixel value newColor, "flood fill" the image. To perform a "flood fill", consider the starting pixel, plus any pixels connected 4-directionally to the starting pixel of the same color as the starting pixel, plus any pixels connected 4-directionally to those pixels (also with the same color as the starting pixel), and so on. Replace the color of all of the aforementioned pixels with the newColor. Return the modified image. Example Input: image = [ [1, 1, 1], [1, 1, 0], [1, 0, 1] ] sr = 1, sc = 1, newColor = 2 Output: [ ] [2, 2, 2], [2, 2, 0], [2, 0, 1]
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