--- comments: true difficulty: 简单 edit_url: https://github.com/doocs/leetcode/edit/main/solution/0700-0799/0733.Flood%20Fill/README.md tags: - 深度优先搜索 - 广度优先搜索 - 数组 - 矩阵 --- # [733. 图像渲染](https://leetcode.cn/problems/flood-fill) [English Version](/solution/0700-0799/0733.Flood%20Fill/README_EN.md) ## 题目描述

有一幅以 m x n 的二维整数数组表示的图画 image ,其中 image[i][j] 表示该图画的像素值大小。

你也被给予三个整数 srsccolor 。你应该从像素 image[sr][sc] 开始对图像进行 上色填充

为了完成 上色工作,从初始像素开始,记录初始坐标的 上下左右四个方向上 相邻且同色的像素点,接着再记录与这些像素点相邻且同色的新像素点,……,重复该过程。将所有有记录的像素点的颜色值改为 color

最后返回 经过上色渲染后的图像 

 

示例 1:

输入: image = [[1,1,1],[1,1,0],[1,0,1]],sr = 1, sc = 1, color = 2
输出: [[2,2,2],[2,2,0],[2,0,1]]
解析: 在图像的正中间,(坐标(sr,sc)=(1,1)),在路径上所有符合条件的像素点的颜色都被更改成2。
注意,右下角的像素没有更改为2,因为它不是在上下左右四个方向上与初始点相连的像素点。

示例 2:

输入: image = [[0,0,0],[0,0,0]], sr = 0, sc = 0, color = 0
输出: [[0,0,0],[0,0,0]]

 

提示:

## 解法 ### 方法一:Flood fill 算法 Flood fill 算法是从一个区域中提取若干个连通的点与其他相邻区域区分开(或分别染成不同颜色)的经典算法。因为其思路类似洪水从一个区域扩散到所有能到达的区域而得名。 最简单的实现方法是采用 DFS 的递归方法,也可以采用 BFS 的迭代来实现。 时间复杂度 $O(m \times n)$,空间复杂度 $O(m \times n)$。其中 $m$ 和 $n$ 分别为图像的行数和列数。 #### Python3 ```python class Solution: def floodFill( self, image: List[List[int]], sr: int, sc: int, color: int ) -> List[List[int]]: def dfs(i, j): if ( not 0 <= i < m or not 0 <= j < n or image[i][j] != oc or image[i][j] == color ): return image[i][j] = color for a, b in pairwise(dirs): dfs(i + a, j + b) dirs = (-1, 0, 1, 0, -1) m, n = len(image), len(image[0]) oc = image[sr][sc] dfs(sr, sc) return image ``` #### Java ```java class Solution { private int[] dirs = {-1, 0, 1, 0, -1}; private int[][] image; private int nc; private int oc; public int[][] floodFill(int[][] image, int sr, int sc, int color) { nc = color; oc = image[sr][sc]; this.image = image; dfs(sr, sc); return image; } private void dfs(int i, int j) { if (i < 0 || i >= image.length || j < 0 || j >= image[0].length || image[i][j] != oc || image[i][j] == nc) { return; } image[i][j] = nc; for (int k = 0; k < 4; ++k) { dfs(i + dirs[k], j + dirs[k + 1]); } } } ``` #### C++ ```cpp class Solution { public: vector> floodFill(vector>& image, int sr, int sc, int color) { int m = image.size(), n = image[0].size(); int oc = image[sr][sc]; int dirs[5] = {-1, 0, 1, 0, -1}; function dfs = [&](int i, int j) { if (i < 0 || i >= m || j < 0 || j >= n || image[i][j] != oc || image[i][j] == color) { return; } image[i][j] = color; for (int k = 0; k < 4; ++k) { dfs(i + dirs[k], j + dirs[k + 1]); } }; dfs(sr, sc); return image; } }; ``` #### Go ```go func floodFill(image [][]int, sr int, sc int, color int) [][]int { oc := image[sr][sc] m, n := len(image), len(image[0]) dirs := []int{-1, 0, 1, 0, -1} var dfs func(i, j int) dfs = func(i, j int) { if i < 0 || i >= m || j < 0 || j >= n || image[i][j] != oc || image[i][j] == color { return } image[i][j] = color for k := 0; k < 4; k++ { dfs(i+dirs[k], j+dirs[k+1]) } } dfs(sr, sc) return image } ``` #### TypeScript ```ts function floodFill(image: number[][], sr: number, sc: number, newColor: number): number[][] { const m = image.length; const n = image[0].length; const target = image[sr][sc]; const dfs = (i: number, j: number) => { if ( i < 0 || i === m || j < 0 || j === n || image[i][j] !== target || image[i][j] === newColor ) { return; } image[i][j] = newColor; dfs(i + 1, j); dfs(i - 1, j); dfs(i, j + 1); dfs(i, j - 1); }; dfs(sr, sc); return image; } ``` #### Rust ```rust impl Solution { fn dfs(image: &mut Vec>, sr: i32, sc: i32, new_color: i32, target: i32) { if sr < 0 || sr == (image.len() as i32) || sc < 0 || sc == (image[0].len() as i32) { return; } let sr = sr as usize; let sc = sc as usize; if sr < 0 || image[sr][sc] == new_color || image[sr][sc] != target { return; } image[sr][sc] = new_color; let sr = sr as i32; let sc = sc as i32; Self::dfs(image, sr + 1, sc, new_color, target); Self::dfs(image, sr - 1, sc, new_color, target); Self::dfs(image, sr, sc + 1, new_color, target); Self::dfs(image, sr, sc - 1, new_color, target); } pub fn flood_fill(image: Vec>, sr: i32, sc: i32, new_color: i32) -> Vec> { let target = image[sr as usize][sc as usize]; Self::dfs(&mut image, sr, sc, new_color, target); image } } ``` ### 方法二 #### Python3 ```python class Solution: def floodFill( self, image: List[List[int]], sr: int, sc: int, color: int ) -> List[List[int]]: if image[sr][sc] == color: return image q = deque([(sr, sc)]) oc = image[sr][sc] image[sr][sc] = color dirs = (-1, 0, 1, 0, -1) while q: i, j = q.popleft() for a, b in pairwise(dirs): x, y = i + a, j + b if 0 <= x < len(image) and 0 <= y < len(image[0]) and image[x][y] == oc: q.append((x, y)) image[x][y] = color return image ``` #### Java ```java class Solution { public int[][] floodFill(int[][] image, int sr, int sc, int color) { if (image[sr][sc] == color) { return image; } Deque q = new ArrayDeque<>(); q.offer(new int[] {sr, sc}); int oc = image[sr][sc]; image[sr][sc] = color; int[] dirs = {-1, 0, 1, 0, -1}; while (!q.isEmpty()) { int[] p = q.poll(); int i = p[0], j = p[1]; for (int k = 0; k < 4; ++k) { int x = i + dirs[k], y = j + dirs[k + 1]; if (x >= 0 && x < image.length && y >= 0 && y < image[0].length && image[x][y] == oc) { q.offer(new int[] {x, y}); image[x][y] = color; } } } return image; } } ``` #### C++ ```cpp class Solution { public: vector> floodFill(vector>& image, int sr, int sc, int color) { if (image[sr][sc] == color) return image; int oc = image[sr][sc]; image[sr][sc] = color; queue> q; q.push({sr, sc}); int dirs[5] = {-1, 0, 1, 0, -1}; while (!q.empty()) { auto [a, b] = q.front(); q.pop(); for (int k = 0; k < 4; ++k) { int x = a + dirs[k]; int y = b + dirs[k + 1]; if (x >= 0 && x < image.size() && y >= 0 && y < image[0].size() && image[x][y] == oc) { q.push({x, y}); image[x][y] = color; } } } return image; } }; ``` #### Go ```go func floodFill(image [][]int, sr int, sc int, color int) [][]int { if image[sr][sc] == color { return image } oc := image[sr][sc] q := [][]int{[]int{sr, sc}} image[sr][sc] = color dirs := []int{-1, 0, 1, 0, -1} for len(q) > 0 { p := q[0] q = q[1:] for k := 0; k < 4; k++ { x, y := p[0]+dirs[k], p[1]+dirs[k+1] if x >= 0 && x < len(image) && y >= 0 && y < len(image[0]) && image[x][y] == oc { q = append(q, []int{x, y}) image[x][y] = color } } } return image } ```