前段时间我问aquestionaboutsquaredetection和karlphillip得出了一个不错的结果。现在我想更进一步，找到边缘不完全可见的正方形。看看这个例子:有什么想法吗？我正在使用karlphillips代码:voidfind_squares(Mat&image,vector>&squares){//blurwillenhanceedgedetectionMatblurred(image);medianBlur(image,blurred,9);Matgray0(blurred.size(),CV_8U),gray;vector>contours;//findsqu

前段时间我问aquestionaboutsquaredetection和karlphillip得出了一个不错的结果。现在我想更进一步，找到边缘不完全可见的正方形。看看这个例子:有什么想法吗？我正在使用karlphillips代码:voidfind_squares(Mat&image,vector>&squares){//blurwillenhanceedgedetectionMatblurred(image);medianBlur(image,blurred,9);Matgray0(blurred.size(),CV_8U),gray;vector>contours;//findsqu

一、题目大意标签:动态规划https://leetcode.cn/problems/maximal-square在一个由'0'和'1'组成的二维矩阵内，找到只包含'1'的最大正方形，并返回其面积。示例1：输入：matrix=[["1","0","1","0","0"],["1","0","1","1","1"],["1","1","1","1","1"],["1","0","0","1","0"]]输出：4示例2：输入：matrix=[["0","1"],["1","0"]]输出：1示例3：输入：matrix=[["0"]]输出：0提示：m==matrix.lengthn==matrix[i]

一、题目大意标签:动态规划https://leetcode.cn/problems/maximal-square在一个由'0'和'1'组成的二维矩阵内，找到只包含'1'的最大正方形，并返回其面积。示例1：输入：matrix=[["1","0","1","0","0"],["1","0","1","1","1"],["1","1","1","1","1"],["1","0","0","1","0"]]输出：4示例2：输入：matrix=[["0","1"],["1","0"]]输出：1示例3：输入：matrix=[["0"]]输出：0提示：m==matrix.lengthn==matrix[i]