题目
Given a 2D integer matrix M representing the gray scale of an image, you need to design a smoother to make the gray scale of each cell becomes the average gray scale (rounding down) of all the 8 surrounding cells and itself. If a cell has less than 8 surrounding cells, then use as many as you can.
Example 1:
Input:
[[1,1,1],
[1,0,1],
[1,1,1]]
Output:
[[0, 0, 0],
[0, 0, 0],
[0, 0, 0]]
Explanation:
For the point (0,0), (0,2), (2,0), (2,2): floor(3/4) = floor(0.75) = 0
For the point (0,1), (1,0), (1,2), (2,1): floor(5/6) = floor(0.83333333) = 0
For the point (1,1): floor(8/9) = floor(0.88888889) = 0
Note:
- The value in the given matrix is in the range of [0, 255].
- The length and width of the given matrix are in the range of [1, 150].
题目大意
包含整数的二维矩阵 M 表示一个图片的灰度。你需要设计一个平滑器来让每一个单元的灰度成为平均灰度 (向下舍入) ,平均灰度的计算是周围的8个单元和它本身的值求平均,如果周围的单元格不足八个,则尽可能多的利用它们。
注意:
- 给定矩阵中的整数范围为 [0, 255]。
- 矩阵的长和宽的范围均为 [1, 150]。
解题思路
- 将二维数组中的每个元素变为周围 9 个元素的平均值。
- 简单题,按照题意计算平均值即可。需要注意的是边界问题,四个角和边上的元素,这些点计算平均值的时候,计算平均值都不足 9 个元素。
代码
func imageSmoother(M [][]int) [][]int {
res := make([][]int, len(M))
for i := range M {
res[i] = make([]int, len(M[0]))
}
for y := 0; y < len(M); y++ {
for x := 0; x < len(M[0]); x++ {
res[y][x] = smooth(x, y, M)
}
}
return res
}
func smooth(x, y int, M [][]int) int {
count, sum := 1, M[y][x]
// Check bottom
if y+1 < len(M) {
sum += M[y+1][x]
count++
}
// Check Top
if y-1 >= 0 {
sum += M[y-1][x]
count++
}
// Check left
if x-1 >= 0 {
sum += M[y][x-1]
count++
}
// Check Right
if x+1 < len(M[y]) {
sum += M[y][x+1]
count++
}
// Check Coners
// Top Left
if y-1 >= 0 && x-1 >= 0 {
sum += M[y-1][x-1]
count++
}
// Top Right
if y-1 >= 0 && x+1 < len(M[0]) {
sum += M[y-1][x+1]
count++
}
// Bottom Left
if y+1 < len(M) && x-1 >= 0 {
sum += M[y+1][x-1]
count++
}
//Bottom Right
if y+1 < len(M) && x+1 < len(M[0]) {
sum += M[y+1][x+1]
count++
}
return sum / count
}