[Swift]LeetCode733. 图像渲染 | Flood Fill

★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★
➤微信公众号：山青咏芝（shanqingyongzhi）
➤博客园地址：山青咏芝（https://www.cnblogs.com/strengthen/）
➤GitHub地址：https://github.com/strengthen/LeetCode
➤原文地址： http://www.javashuo.com/article/p-bhghortb-me.html 
➤若是连接不是山青咏芝的博客园地址，则多是爬取做者的文章。
➤原文已修改更新！强烈建议点击原文地址阅读！支持做者！支持原创！
★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★

An image is represented by a 2-D array of integers, each integer representing the pixel value of the image (from 0 to 65535).

Given a coordinate (sr, sc) representing the starting pixel (row and column) of the flood fill, and a pixel value newColor, "flood fill" the image.

To perform a "flood fill", consider the starting pixel, plus any pixels connected 4-directionally to the starting pixel of the same color as the starting pixel, plus any pixels connected 4-directionally to those pixels (also with the same color as the starting pixel), and so on. Replace the color of all of the aforementioned pixels with the newColor.

At the end, return the modified image.

Example 1:

Input: 
image = [[1,1,1],[1,1,0],[1,0,1]]
sr = 1, sc = 1, newColor = 2
Output: [[2,2,2],[2,2,0],[2,0,1]]
Explanation: 
From the center of the image (with position (sr, sc) = (1, 1)), all pixels connected 
by a path of the same color as the starting pixel are colored with the new color.
Note the bottom corner is not colored 2, because it is not 4-directionally connected
to the starting pixel. 

Note:

• The length of image and image[0] will be in the range [1, 50].
• The given starting pixel will satisfy 0 <= sr < image.length and 0 <= sc < image[0].length.
• The value of each color in image[i][j] and newColor will be an integer in [0, 65535].

---

有一幅以二维整数数组表示的图画，每个整数表示该图画的像素值大小，数值在 0 到 65535 之间。

给你一个坐标 (sr, sc) 表示图像渲染开始的像素值（行 ，列）和一个新的颜色值 newColor，让你从新上色这幅图像。

为了完成上色工做，从初始坐标开始，记录初始坐标的上下左右四个方向上像素值与初始坐标相同的相连像素点，接着再记录这四个方向上符合条件的像素点与他们对应四个方向上像素值与初始坐标相同的相连像素点，……，重复该过程。将全部有记录的像素点的颜色值改成新的颜色值。

最后返回通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, newColor = 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)),
在路径上全部符合条件的像素点的颜色都被更改为2。
注意，右下角的像素没有更改成2，
由于它不是在上下左右四个方向上与初始点相连的像素点。

注意:

• image 和 image[0] 的长度在范围 [1, 50] 内。
• 给出的初始点将知足 0 <= sr < image.length和 0 <= sc < image[0].length。
• image[i][j] 和 newColor 表示的颜色值在范围 [0, 65535]内。

---

Runtime: 64 ms

Memory Usage: 19.2 MB

 1 class Solution {
 2     
 3     func floodFill(_ image: [[Int]], _ sr: Int, _ sc: Int, _ newColor: Int) -> [[Int]] {
 4         if image.count == 0 || image[0].count == 0 { return [] }
 5         var image = image
 6         
 7         let curColor = image[sr][sc]
 8         floodFillHelper(&image, sr, sc, curColor, newColor)
 9         
10         return image
11     }
12     
13     func floodFillHelper(_ image: inout [[Int]], _ sr: Int, _ sc: Int, _ curColor: Int, _ newColor: Int) {
14         if sr < 0 || sr >= image.count || 
15         sc < 0 || sc >= image[0].count || 
16         image[sr][sc] != curColor || image[sr][sc] == newColor{ return }
17 
18         image[sr][sc] = newColor
19 
20         floodFillHelper(&image, sr-1, sc, curColor, newColor)   
21         floodFillHelper(&image, sr+1, sc, curColor, newColor)           
22         floodFillHelper(&image, sr, sc-1, curColor, newColor)   
23         floodFillHelper(&image, sr, sc+1, curColor, newColor)       
24     }    
25 }

---

80ms

 1 class Solution {
 2     
 3     func floodFill(_ image: [[Int]], _ sr: Int, _ sc: Int, _ newColor: Int) -> [[Int]] {
 4         if image.count == 0 || image[0].count == 0 { return [] }
 5         var image = image
 6         
 7         let curColor = image[sr][sc]
 8         floodFillHelper(&image, sr, sc, curColor, newColor)
 9         
10         return image
11     }
12     
13     func floodFillHelper(_ image: inout [[Int]], _ sr: Int, _ sc: Int, _ curColor: Int, _ newColor: Int) {
14         if sr < 0 || sr >= image.count || sc < 0 || sc >= image[0].count { return }
15         if image[sr][sc] != curColor || image[sr][sc] == newColor { return }
16 
17 
18         image[sr][sc] = newColor
19 
20         for i in -1...1 {
21             floodFillHelper(&image, sr+i, sc, curColor, newColor)       
22             floodFillHelper(&image, sr, sc+i, curColor, newColor)       
23         }    
24     }    
25 }

---

84ms

 1 class Solution {
 2     func floodFill(_ image: [[Int]], _ sr: Int, _ sc: Int, _ newColor: Int) -> [[Int]] {
 3         let m = image.count
 4         let n = image.first?.count ?? 0
 5         
 6         var image = image
 7         var stack = [[Int]]()
 8         var visited = Set<[Int]>()
 9         stack.append([sr,sc])
10         let startColor = image[sr][sc]
11         
12         while !stack.isEmpty {
13             let pos = stack.removeLast()
14             visited.insert(pos)
15             let vr = pos[0]
16             let vc = pos[1]
17             image[vr][vc] = newColor
18             
19             let directions = [
20                 [1, 0],
21                 [-1, 0],
22                 [0, 1],
23                 [0, -1]
24             ]
25             
26             for d in directions {
27                 let r = vr + d[0]
28                 let c = vc + d[1]
29 
30                 if r < 0 || c < 0 || r >= m || c >= n || image[r][c] != startColor || visited.contains([r,c]) {
31                     continue
32                 }
33                 stack.append([r,c])
34             }
35         }
36         
37         return image
38     }
39 }

---

88ms

 1 class Solution {
 2     func floodFill(_ image: [[Int]], _ sr: Int, _ sc: Int, _ newColor: Int) -> [[Int]] {
 3         guard image.count > 0 else { return [] }
 4         var res = image
 5         var queue = [[sr, sc]]
 6         var j = 0
 7         let color = image[sr][sc]
 8         var visited = Set<[Int]>()
 9         while j != queue.count {
10             let current = queue[j]
11             j += 1
12             visited.insert(current)
13             res[current[0]][current[1]] = newColor
14             queue += neighbours(image, current, color, visited)
15         }
16         return res
17     }
18     
19     func neighbours(_ image: [[Int]], _ p: [Int], _ color: Int, _ visited: Set<[Int]>) -> [[Int]] {
20         let rows = image.count, cols = image[0].count
21         let x = p[0], y = p[1]
22         return [[x-1, y], [x+1, y], [x, y-1], [x, y+1]].filter { !visited.contains($0) && $0[0] >= 0 && $0[0] < rows && $0[1] >= 0 && $0[1] < cols && image[$0[0]][$0[1]] == color }
23     }
24 }

---

100ms

 1 class Solution {   
 2     func emptyImageGrid(_ image: [[Int]]) -> [[Int]] {
 3         var grid = [[Int]]()
 4         for i in 0..<image.count {
 5             var row = [Int]()
 6             for _ in 0..<image[i].count {
 7                 row.append(0)
 8             }
 9             grid.append(row)
10         }
11         return grid
12     }
13     func shouldAdd(_ image: [[Int]], _ visited: Set<MAPoint>, _ sr: Int, _ sc: Int, _ desiredColor: Int) -> Bool {
14         if sr >= 0 && sr < image.count && sc >= 0 && sc < image[sr].count {
15             // this is a valid point in the graph
16             if image[sr][sc] == desiredColor && visited.contains(MAPoint(row: sr, col: sc)) == false {
17                 // this point is the right color and hasn't been visited yet
18                 return true
19             }
20         }
21         return false
22     }
23     func floodFill(_ image: [[Int]], _ sr: Int, _ sc: Int, _ newColor: Int) -> [[Int]] {
24         let originalColor = image[sr][sc]
25         var imageGrid = image
26         var points = [Int]()
27         var queue = [MAPoint]()
28         var visited = Set<MAPoint>()
29         queue.append(MAPoint(row: sr, col: sc))
30         while let firstPoint = queue.first {
31             imageGrid[firstPoint.row][firstPoint.col] = newColor
32             visited.insert(firstPoint)
33             queue.removeFirst()
34             // check surroundings
35             if shouldAdd(image, visited, firstPoint.row, firstPoint.col-1, originalColor) == true {
36                 // left
37                 queue.append(MAPoint(row: firstPoint.row, col: firstPoint.col-1))
38             }
39             if shouldAdd(image, visited, firstPoint.row, firstPoint.col+1, originalColor) == true {
40                 // right
41                 queue.append(MAPoint(row: firstPoint.row, col: firstPoint.col+1))
42             }
43             if shouldAdd(image, visited, firstPoint.row-1, firstPoint.col, originalColor) == true {
44                 // up
45                 queue.append(MAPoint(row: firstPoint.row-1, col: firstPoint.col))
46             }
47             if shouldAdd(image, visited, firstPoint.row+1, firstPoint.col, originalColor) == true {
48                 // down
49                 queue.append(MAPoint(row: firstPoint.row+1, col: firstPoint.col))
50             }
51         }
52         return imageGrid
53     }
54 }
55 
56 struct MAPoint {
57     let row: Int
58     let col: Int
59 }
60 
61 extension MAPoint: Hashable {
62     static func == (lhs: MAPoint, rhs: MAPoint) -> Bool {
63         return lhs.row == rhs.row && lhs.col == rhs.col
64     }
65     func hash(into hasher: inout Hasher) {
66         hasher.combine(row)
67         hasher.combine(col)
68     }
69 }

---

100ms

 1 class Solution {
 2     func floodFill(_ image: [[Int]], _ sr: Int, _ sc: Int, _ newColor: Int) -> [[Int]] {    
 3         var resImage: [[Int]] = image
 4         var oldColor: Int = image[sr][sc]
 5         
 6         guard oldColor != newColor else {
 7             return image
 8         }   
 9         func setNewColor(_ sr: Int, _ sc: Int) {
10             resImage[sr][sc] = newColor
11             if sr > 0 && resImage[sr - 1][sc] == oldColor {
12                 setNewColor(sr - 1, sc)
13             }
14             if sr < image.count - 1 && resImage[sr + 1][sc] == oldColor {
15                 setNewColor(sr + 1, sc)
16             }
17             if sc > 0 && resImage[sr][sc - 1] == oldColor {
18                 setNewColor(sr, sc - 1)
19             }
20             if sc < image[0].count - 1 && resImage[sr][sc + 1] == oldColor {
21                 setNewColor(sr, sc + 1)
22             }
23         }       
24         setNewColor(sr, sc)  
25         return resImage
26     }
27 }