All questions work with a greyscale image specified as a 2D int array.

The array is indexed first by row, then by column. Every row in the array will be the same length. Every element in the array will be non-negative and no greater than 255. A value of 0 represents a black pixel, and a value of 255 represents white, with shades of grey in between. Time complexity specifications use R for number of rows, C for number of columns, and P = R*C for number of pixels. public int floodFillCount(int[][] image, int row, int col)

Compute the number of pixels that change when performing a black flood-fill from the pixel at ( row , col ) in the given image. A flood-fill operation changes the selected pixel and all contiguous pixels of the same colour to the specified colour. A pixel is considered part of a contiguous region of the same colour if it is exactly one pixel up/down/left/right of another pixel in the region.

Compute the total brightness of the brightest exactly k*k square that appears in the given image. The total brightness of a square is defined as the sum of its pixel values. You may assume that k is positive, no greater than R or C , and no greater than 2048.

Compute the maximum brightness that MUST be encountered when drawing a path from the pixel at ( ur , uc ) to the pixel at ( vr , vc ). The path must start at ( ur , uc ) and end at ( vr , vc ), and may only move one pixel up/down/left/right at a time in between. The brightness of a path is considered to be the value of the brightest pixel that the path ever touches. This includes the start and end pixels of the path.

Compute the results of a list of queries on the given image. Each query will be a three-element int array {r, l, u} defining a row segment. You may assume l < u . A row segment is a set of pixels ( r , c ) such that r is as defined, l <= c , and c < u . For each query, find the value of the brightest pixel in the specified row segment. Return the query results in the same order as the queries are given.

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Image processing assignment

1. Black-flood fill count
The function is implemented in the method public int floodFillCount(int[][] image, int row, int col) from the class MyProject.
To solve this problem, I’ve used Breadth First Search (BFS) from the seed point (col, row).
I consider the image as a graph, with R*C vertices (meaning that each pixel in the image is considered as a vertex in the graph).
For simplicity, I also defined a Point class (in the file to store the x, y coordinates of a pixel.
Each vertex crt from the graph is connected to 4 other vertices ( its adjacent north (N), south(S), east (E) and west (W) pixels):
W crt E

To determine the neighbours of a pixel, I used the following idea: I defined two arrays of displacements dx - for the horizontal displacements, and dy - for the vertical displacements.
// bottom: pt + (0, 1), right: pt + (1, 0), top: pt + (0, -1), left: pt + (-1, 0)
int dx[] = {0, 1, 0, -1};
int dy[] = {1, 0, -1, 0};
To obtain the neighbours of the pixel, I simply iterate through the displacements vector, and add these displacement values to the x and y locations of the pixel. Let’s say we have the a pixel at location Point crt = new Point(10, 10);
The neighbours of this pixel would be:
Point south = new Point(crt.getX() + dx[0], crt.getY() + dy[0]);
Point east = new Point(crt.getX() + dx[1], crt.getY() + dy[1]);
Point north = new Point(crt.getX() + dx[2], crt.getY() + dy[2]);
Point west = new Point(crt.getX() + dx[3], crt.getY() + dy[3]);
For the flood fill procedure, we need to find all the pixels with the same colour as the seed pixel which...

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