结合opencv求取图像的局部均值、中值、方差；

//src 为待处理图像
//indexrows 为图像遍历的行数
//indexcols 为图像遍历的列数
//meanv 保存均值
//ker 窗口大小
//均值求取
void Meanvalue(Mat& src, int indexrows, int indexcols, float* meanv, int ker)
{
	int lo = (ker - 1) / 2;
	float total = 0;
	for (int i = indexrows - lo; i <= indexrows + lo; i++)
	{
		for (int j = indexcols - lo; j <= indexcols + lo; j++)
		{
			total += src.at<uchar>(i, j);
		}
	}
	*meanv = total / (ker * ker);
	return;
}
//src 为待处理图像
//indexrows 为图像遍历的行数
//indexcols 为图像遍历的列数
//meanv 保存中值
//ker 窗口大小
//中值求取
void Media(Mat& src, int indexrows, int indexcols, int* meanv, int ker)
{
	int lo = (ker - 1) / 2;
	vector<int>moreo;
	for (int i = indexrows - lo; i <= indexrows + lo; i++)
	{
		for (int j = indexcols - lo; j <= indexcols + lo; j++)
		{
			moreo.push_back(src.at<uchar>(i, j));
		}
	}
	sort(moreo.begin(), moreo.end());
	*meanv = moreo.at(ker * ker / 2);
	return;
}
////src     为待处理图像
//indexrows 为图像遍历的行数
//indexcols 为图像遍历的列数
//vall      保存方差值
//ker       窗口大小
//mean      为均值
//局部方差求取
void Vvalue(Mat& src, int indexrows, int indexcols, int* vall, int ker, float mean)
{
	int lo = (ker - 1) / 2;
	float total = 0;
	for (int i = indexrows - lo; i <= indexrows + lo; i++)
	{
		for (int j = indexcols - lo; j <= indexcols + lo; j++)
		{
			total += pow((src.at<uchar>(i, j) - mean), 2);
		}
	}
	*vall = static_cast<int>(total);
	return;
}