C++实现图像目标区裁剪ImageCropping

cv::Mat ImageCropping(const cv::Mat &phase) {
	// 非测量区一般都进行了NaN处理，所以掩膜绘制只需要判断是否为NaN值即可
	cv::Mat mask = cv::Mat::zeros(phase.size(), CV_8UC1);
	mask.setTo(255, phase == phase);
	int roi_up = 10000;
	int roi_down = 0;
	int roi_left = 10000;
	int roi_right = 0;
	int row = phase.rows;
	int col = phase.cols;
	for (int i = 0; i < row; i++)
	{
		uchar *m = mask.ptr<uchar>(i);
		for (int j = 0; j < col; j++)
		{
			if (m[j] != 0)
			{
				if (j < roi_left)roi_left = j;
				if (j > roi_right)roi_right = j;
				if (i < roi_up)roi_up = i;
				if (i > roi_down)roi_down = i;
			}
		}
	}
	int w = roi_right - roi_left;
	int h = roi_down - roi_up;
	// 一般提取奇数尺寸，方便计算
	if (w % 2 == 0)w++;
	if (h % 2 == 0)h++;
	cv::Mat crop_phase = phase(cv::Rect(roi_left, roi_up, w, h)).clone();
	return crop_phase;
}

#include<iOStream>
#include<OpenCV2/opencv.hpp>
#include<ctime>
using namespace std;
using namespace cv;
cv::Mat ImageCropping(const cv::Mat &phase);
int main(void)
{
	cv::Mat phase(100, 100, CV_32FC1, nan(""));
	cv::circle(phase, cv::Point(50, 50), 30, 255, -1);
	cv::Mat crop = ImageCropping(phase);
	imshow("original", phase);
	imshow("result", crop);
	waiTKEy(0);
	system("pause");
	return 0;
}

cv::Mat ImageCropping(const cv::Mat &phase) {
	// 非测量区一般都进行了NaN处理，所以掩膜绘制只需要判断是否为NaN值即可
	cv::Mat mask = cv::Mat::zeros(phase.size(), CV_8UC1);
	mask.setTo(255, phase == phase);
	int roi_up = 10000;
	int roi_down = 0;
	int roi_left = 10000;
	int roi_right = 0;
	int row = phase.rows;
	int col = phase.cols;
	for (int i = 0; i < row; i++)
	{
		uchar *m = mask.ptr<uchar>(i);
		for (int j = 0; j < col; j++)
		{
			if (m[j] != 0)
			{
				if (j < roi_left)roi_left = j;
				if (j > roi_right)roi_right = j;
				if (i < roi_up)roi_up = i;
				if (i > roi_down)roi_down = i;
			}
		}
	}
	int w = roi_right - roi_left;
	int h = roi_down - roi_up;
	// 一般提取奇数尺寸，方便计算
	if (w % 2 == 0)w++;
	if (h % 2 == 0)h++;
	cv::Mat crop_phase = phase(cv::Rect(roi_left, roi_up, w, h)).clone();
	return crop_phase;
}