Saturday, 10 October 2015

Given a matrix of ‘O’ and ‘X’, replace ‘O’ with ‘X’ if surrounded by ‘X’

Given a matrix where every element is either ‘O’ or ‘X’, replace ‘O’ with ‘X’ if surrounded by ‘X’. A ‘O’ (or a set of ‘O’) is considered to be by surrounded by ‘X’ if there are ‘X’ at locations just below, just above, just left and just right of it.
Examples:
Input: mat[M][N] =  {{'X', 'O', 'X', 'X', 'X', 'X'},
                     {'X', 'O', 'X', 'X', 'O', 'X'},
                     {'X', 'X', 'X', 'O', 'O', 'X'},
                     {'O', 'X', 'X', 'X', 'X', 'X'},
                     {'X', 'X', 'X', 'O', 'X', 'O'},
                     {'O', 'O', 'X', 'O', 'O', 'O'},
                    };
Output: mat[M][N] =  {{'X', 'O', 'X', 'X', 'X', 'X'},
                      {'X', 'O', 'X', 'X', 'X', 'X'},
                      {'X', 'X', 'X', 'X', 'X', 'X'},
                      {'O', 'X', 'X', 'X', 'X', 'X'},
                      {'X', 'X', 'X', 'O', 'X', 'O'},
                      {'O', 'O', 'X', 'O', 'O', 'O'},
                    };

Input: mat[M][N] =  {{'X', 'X', 'X', 'X'}
                     {'X', 'O', 'X', 'X'}
                     {'X', 'O', 'O', 'X'}
                     {'X', 'O', 'X', 'X'}
                     {'X', 'X', 'O', 'O'}
                    };
Input: mat[M][N] =  {{'X', 'X', 'X', 'X'}
                     {'X', 'X', 'X', 'X'}
                     {'X', 'X', 'X', 'X'}
                     {'X', 'X', 'X', 'X'}
                     {'X', 'X', 'O', 'O'}
                    };
We strongly recommend to minimize your browser and try this yourself first.
 
This is mainly an application of Flood-Fill algorithm. The main difference here is that a ‘O’ is not replaced by ‘X’ if it lies in region that ends on a boundary. Following are simple steps to do this special flood fill.
1) Traverse the given matrix and replace all ‘O’ with a special character ‘-‘.
2) Traverse four edges of given matrix and call floodFill(‘-‘, ‘O’) for every ‘-‘ on edges. The remaining ‘-‘ are the characters that indicate ‘O’s (in the original matrix) to be replaced by ‘X’.
3) Traverse the matrix and replace all ‘-‘s with ‘X’s.

Let us see steps of above algorithm with an example. 
Let following be the input matrix.
       mat[M][N] =  {{'X', 'O', 'X', 'X', 'X', 'X'},
                     {'X', 'O', 'X', 'X', 'O', 'X'},
                     {'X', 'X', 'X', 'O', 'O', 'X'},
                     {'O', 'X', 'X', 'X', 'X', 'X'},
                     {'X', 'X', 'X', 'O', 'X', 'O'},
                     {'O', 'O', 'X', 'O', 'O', 'O'},
                    };
Step 1: Replace all ‘O’ with ‘-‘.
       mat[M][N] =  {{'X', '-', 'X', 'X', 'X', 'X'},
                     {'X', '-', 'X', 'X', '-', 'X'},
                     {'X', 'X', 'X', '-', '-', 'X'},
                     {'-', 'X', 'X', 'X', 'X', 'X'},
                     {'X', 'X', 'X', '-', 'X', '-'},
                     {'-', '-', 'X', '-', '-', '-'},
                    };
Step 2: Call floodFill(‘-‘, ‘O’) for all edge elements with value equals to ‘-‘
       mat[M][N] =  {{'X', 'O', 'X', 'X', 'X', 'X'},
                     {'X', 'O', 'X', 'X', '-', 'X'},
                     {'X', 'X', 'X', '-', '-', 'X'},
                     {'O', 'X', 'X', 'X', 'X', 'X'},
                     {'X', 'X', 'X', 'O', 'X', 'O'},
                     {'O', 'O', 'X', 'O', 'O', 'O'},
                    };
Step 3: Replace all ‘-‘ with ‘X’.
       mat[M][N] =  {{'X', 'O', 'X', 'X', 'X', 'X'},
                     {'X', 'O', 'X', 'X', 'X', 'X'},
                     {'X', 'X', 'X', 'X', 'X', 'X'},
                     {'O', 'X', 'X', 'X', 'X', 'X'},
                     {'X', 'X', 'X', 'O', 'X', 'O'},
                     {'O', 'O', 'X', 'O', 'O', 'O'},
                    };
The following is C++ implementation of above algorithm.
// A C++ program to replace all 'O's with 'X''s if surrounded by 'X'
#include<iostream>
using namespace std;
 
// Size of given matrix is M X N
#define M 6
#define N 6
 
 
// A recursive function to replace previous value 'prevV' at  '(x, y)'
// and all surrounding values of (x, y) with new value 'newV'.
void floodFillUtil(char mat[][N], int x, int y, char prevV, char newV)
{
    // Base cases
    if (x < 0 || x >= M || y < 0 || y >= N)
        return;
    if (mat[x][y] != prevV)
        return;
 
    // Replace the color at (x, y)
    mat[x][y] = newV;
 
    // Recur for north, east, south and west
    floodFillUtil(mat, x+1, y, prevV, newV);
    floodFillUtil(mat, x-1, y, prevV, newV);
    floodFillUtil(mat, x, y+1, prevV, newV);
    floodFillUtil(mat, x, y-1, prevV, newV);
}
 
// Returns size of maximum size subsquare matrix
// surrounded by 'X'
int replaceSurrounded(char mat[][N])
{
   // Step 1: Replace all 'O'  with '-'
   for (int i=0; i<M; i++)
      for (int j=0; j<N; j++)
          if (mat[i][j] == 'O')
             mat[i][j] = '-';
 
   // Call floodFill for all '-' lying on edges
   for (int i=0; i<M; i++)   // Left side
      if (mat[i][0] == '-')
        floodFillUtil(mat, i, 0, '-', 'O');
   for (int i=0; i<M; i++)  //  Right side
      if (mat[i][N-1] == '-')
        floodFillUtil(mat, i, N-1, '-', 'O');
   for (int i=0; i<N; i++)   // Top side
      if (mat[0][i] == '-')
        floodFillUtil(mat, 0, i, '-', 'O');
   for (int i=0; i<N; i++)  // Bottom side
      if (mat[M-1][i] == '-')
        floodFillUtil(mat, M-1, i, '-', 'O');
 
   // Step 3: Replace all '-' with 'X'
   for (int i=0; i<M; i++)
      for (int j=0; j<N; j++)
         if (mat[i][j] == '-')
             mat[i][j] = 'X';
 
}
 
// Driver program to test above function
int main()
{
    char mat[][N] =  {{'X', 'O', 'X', 'O', 'X', 'X'},
                     {'X', 'O', 'X', 'X', 'O', 'X'},
                     {'X', 'X', 'X', 'O', 'X', 'X'},
                     {'O', 'X', 'X', 'X', 'X', 'X'},
                     {'X', 'X', 'X', 'O', 'X', 'O'},
                     {'O', 'O', 'X', 'O', 'O', 'O'},
                    };
    replaceSurrounded(mat);
 
 
    for (int i=0; i<M; i++)
    {
      for (int j=0; j<N; j++)
          cout << mat[i][j] << " ";
      cout << endl;
    }
    return 0;
}
Output:
X O X O X X 
X O X X X X 
X X X X X X 
O X X X X X 
X X X O X O 
O O X O O O 
Time Complexity of the above solution is O(MN). Note that every element of matrix is processed at most three times.

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