Given a 2D grid
consists of 0s
(land) and 1s
(water). An island is a maximal 4-directionally connected group of 0s
and a closed island is an island totally (all left, top, right, bottom) surrounded by 1s.
Return the number of closed islands.
Example 1:
Input: grid = [[1,1,1,1,1,1,1,0],[1,0,0,0,0,1,1,0],[1,0,1,0,1,1,1,0],[1,0,0,0,0,1,0,1],[1,1,1,1,1,1,1,0]] Output: 2 Explanation: Islands in gray are closed because they are completely surrounded by water (group of 1s).
Example 2:
Input: grid = [[0,0,1,0,0],[0,1,0,1,0],[0,1,1,1,0]] Output: 1
Example 3:
Input: grid = [[1,1,1,1,1,1,1], [1,0,0,0,0,0,1], [1,0,1,1,1,0,1], [1,0,1,0,1,0,1], [1,0,1,1,1,0,1], [1,0,0,0,0,0,1], [1,1,1,1,1,1,1]] Output: 2
Constraints:
1 <= grid.length, grid[0].length <= 100
0 <= grid[i][j] <=1
Related Topics:
Depth-first Search
// OJ: https://leetcode.com/problems/number-of-closed-islands/
// Author: github.com/lzl124631x
// Time: O(MN)
// Space: O(1)
class Solution {
int dirs[4][2] = {{0,1},{0,-1},{-1,0},{1,0}}, M, N;
bool dfs(vector<vector<int>> &G, int x, int y, int id) {
G[x][y] = id;
bool ans = true;
for (auto &[dx, dy] : dirs) {
int a = x + dx, b = y + dy;
bool oob = a < 0 || b < 0 || a >= M || b >= N;
ans = ans && !oob;
if (oob || G[a][b] != 0) continue;
ans = dfs(G, a, b, id) && ans;
}
return ans;
}
public:
int closedIsland(vector<vector<int>>& G) {
int id = 2, ans = 0;
M = G.size(), N = G[0].size();
for (int i = 0; i < M; ++i) {
for (int j = 0; j < N; ++j) {
if (G[i][j] != 0) continue;
if (dfs(G, i, j, id++)) ++ans;
}
}
return ans;
}
};