public IterateBoards DefineIteratedBoards()
{
var boards = new IterateBoards();
var currentBoard = new MatrixBoard(ImageMatrix);
for (int i = 0; i < IterateBoards.numberOfIterations; i++) {
boards.Boards.Add(currentBoard);
currentBoard = currentBoard.IterateBoard();
}
return boards;
}
public MatrixBoard IterateBoard()
{
const int consolidationConstant = 3;
MatrixBoard iteratedBoard = new MatrixBoard(width, height);
int averageSurroundingDiscrepPxls;
int rangeOfSurroundingPxls, rangeOfSurroundingDiscrepPxls;
int[] surroundingPxls = new int[4];
int[] surroundingDiscrepancyPxls = new int[4];
for (int i = 1; i < width - 1; i++) {
for (int j = 1; j < height - 1; j++) {
surroundingPxls[0] = Matrix[i - 1][j];
surroundingPxls[1] = Matrix[i][j - 1];
surroundingPxls[2] = Matrix[i + 1][j];
surroundingPxls[3] = Matrix[i][j + 1];
for (int k = 0; k < 4; k++)
surroundingDiscrepancyPxls[k] = Math.Abs(Matrix[i][j] - surroundingPxls[k]);
averageSurroundingDiscrepPxls = (surroundingDiscrepancyPxls[0] + surroundingDiscrepancyPxls[1]
+ surroundingDiscrepancyPxls[2] + surroundingDiscrepancyPxls[3]) / 4;
rangeOfSurroundingDiscrepPxls = Math.Max(Math.Max(surroundingDiscrepancyPxls[0], surroundingDiscrepancyPxls[1]), Math.Max(surroundingDiscrepancyPxls[2], surroundingDiscrepancyPxls[3]))
- Math.Min(Math.Min(surroundingDiscrepancyPxls[0], surroundingDiscrepancyPxls[1]), Math.Min(surroundingDiscrepancyPxls[2], surroundingDiscrepancyPxls[3]));
rangeOfSurroundingPxls = Math.Max(Math.Max(surroundingPxls[0], surroundingPxls[1]), Math.Max(surroundingPxls[2], surroundingPxls[3]))
- Math.Min(Math.Min(surroundingPxls[0], surroundingPxls[1]), Math.Min(surroundingPxls[2], surroundingPxls[3]));
iteratedBoard.Matrix[i][j] = ((averageSurroundingDiscrepPxls * rangeOfSurroundingPxls) / ((rangeOfSurroundingDiscrepPxls / 4) + 1)) / consolidationConstant;
}
}
iteratedBoard.MatrixImg = iteratedBoard.Matrix.ConvertDoubleArrayToBitmap(Color.White);
return iteratedBoard;
}
