Question: Here are the clases so you can just add on to it!! PartImage class import javafx.geometry.Point2D; public class PartImage { private boolean[][] pixels; private boolean[][]

![it!! PartImage class import javafx.geometry.Point2D; public class PartImage { private boolean[][] pixels;](https://s3.amazonaws.com/si.experts.images/answers/2024/09/66dfd61b83b5e_37066dfd61ada6e0.jpg)
![private boolean[][] visited; private int rows; private int cols; public PartImage(int r,](https://s3.amazonaws.com/si.experts.images/answers/2024/09/66dfd61c49e04_37166dfd61bbcd20.jpg)

![boolean[r][c]; pixels = new boolean[r][c]; } public PartImage(int rw, int cl, byte[][]](https://s3.amazonaws.com/si.experts.images/answers/2024/09/66dfd61e51757_37366dfd61da124a.jpg)

Here are the clases so you can just add on to it!!
PartImage class
import javafx.geometry.Point2D; public class PartImage { private boolean[][] pixels; private boolean[][] visited; private int rows; private int cols; public PartImage(int r, int c) { rows = r; cols = c; visited = new boolean[r][c]; pixels = new boolean[r][c]; } public PartImage(int rw, int cl, byte[][] data) { this(rw,cl); for (int r=0; r
PartImageTester class
public class PartImageTester { public static void main(String[] args) { PartImage piA = PartImage.exampleA(); PartImage piB = PartImage.exampleB(); PartImage piC = PartImage.exampleC(); PartImage piD = PartImage.exampleD(); System.out.println(" Part A:"); System.out.println(" starts at: " + PartImage.exampleA().findStart()); System.out.println(" size: " + PartImage.exampleA().partSize()); System.out.println(" broken: " + PartImage.exampleA().isBroken()); System.out.println(" perimeter: " + PartImage.exampleA().perimeter() + " "); piA.print(); System.out.println(" Part B:"); System.out.println(" starts at: " + PartImage.exampleB().findStart()); System.out.println(" size: " + PartImage.exampleB().partSize()); System.out.println(" broken: " + PartImage.exampleB().isBroken()); System.out.println(" perimeter: " + PartImage.exampleB().perimeter() + " "); piB.print(); System.out.println(" Part C:"); System.out.println(" starts at: " + PartImage.exampleC().findStart()); System.out.println(" size: " + PartImage.exampleC().partSize()); System.out.println(" broken: " + PartImage.exampleC().isBroken()); System.out.println(" perimeter: " + PartImage.exampleC().perimeter() + " "); piC.print(); System.out.println(" Part D:"); System.out.println(" starts at: " + PartImage.exampleD().findStart()); System.out.println(" size: " + PartImage.exampleD().partSize()); System.out.println(" broken: " + PartImage.exampleD().isBroken()); System.out.println(" perimeter: " + PartImage.exampleD().perimeter() + " "); piD.print(); } } Assume that we have an assembly line that can take a picture of a machine part 2D grid of pixels which are either black or white. The pixels can be accessed by specifying the row and column of the pixel where rows and columns are specified by an integer value The machine examines the images and attempts to determine whether or not the parts are broken. A separation between one or more sets of black pixel groups. Here are some examples of four possible images. Note that (c) and (d) represent images of broken parts. The red border represents the perimeter of a part composed of black pixels 10 rows 1 2 3 4 5 6789 10 columns Step by Step Solution
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