{ "data": { "question": { "questionId": "864", "questionFrontendId": "835", "categoryTitle": "Algorithms", "boundTopicId": 1722, "title": "Image Overlap", "titleSlug": "image-overlap", "content": "
You are given two images, img1
and img2
, represented as binary, square matrices of size n x n
. A binary matrix has only 0
s and 1
s as values.
We translate one image however we choose by sliding all the 1
bits left, right, up, and/or down any number of units. We then place it on top of the other image. We can then calculate the overlap by counting the number of positions that have a 1
in both images.
Note also that a translation does not include any kind of rotation. Any 1
bits that are translated outside of the matrix borders are erased.
Return the largest possible overlap.
\n\n\n
Example 1:
\n\n\nInput: img1 = [[1,1,0],[0,1,0],[0,1,0]], img2 = [[0,0,0],[0,1,1],[0,0,1]]\nOutput: 3\nExplanation: We translate img1 to right by 1 unit and down by 1 unit.\n\nThe number of positions that have a 1 in both images is 3 (shown in red).\n\n\n\n
Example 2:
\n\n\nInput: img1 = [[1]], img2 = [[1]]\nOutput: 1\n\n\n
Example 3:
\n\n\nInput: img1 = [[0]], img2 = [[0]]\nOutput: 0\n\n\n
\n
Constraints:
\n\nn == img1.length == img1[i].length
n == img2.length == img2[i].length
1 <= n <= 30
img1[i][j]
is either 0
or 1
.img2[i][j]
is either 0
or 1
.给你两个图像 img1
和 img2
,两个图像的大小都是 n x n
,用大小相同的二进制正方形矩阵表示。二进制矩阵仅由若干 0
和若干 1
组成。
转换 其中一个图像,将所有的 1
向左,右,上,或下滑动任何数量的单位;然后把它放在另一个图像的上面。该转换的 重叠 是指两个图像 都 具有 1
的位置的数目。
请注意,转换 不包括 向任何方向旋转。越过矩阵边界的 1
都将被清除。
最大可能的重叠数量是多少?
\n\n\n\n
示例 1:
\n\n\n输入:img1 = [[1,1,0],[0,1,0],[0,1,0]], img2 = [[0,0,0],[0,1,1],[0,0,1]]\n输出:3\n解释:将 img1 向右移动 1 个单位,再向下移动 1 个单位。\n\n两个图像都具有 1
的位置的数目是 3(用红色标识)。\n\n
\n\n示例 2:
\n\n\n输入:img1 = [[1]], img2 = [[1]]\n输出:1\n\n\n
示例 3:
\n\n\n输入:img1 = [[0]], img2 = [[0]]\n输出:0\n\n\n
\n\n
提示:
\n\nn == img1.length == img1[i].length
n == img2.length == img2[i].length
1 <= n <= 30
img1[i][j]
为 0
或 1
img2[i][j]
为 0
或 1
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