結合opencv求取影象的區域性均值、中值、方差；

//src 為待處理影象
//indexrows 為影象遍歷的行數
//indexcols 為影象遍歷的列數
//meanv 儲存均值
//ker 視窗大小
//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 為待處理影象
//indexrows 為影象遍歷的行數
//indexcols 為影象遍歷的列數
//meanv 儲存中值
//ker 視窗大小
//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     為待處理影象
//indexrows 為影象遍歷的行數
//indexcols 為影象遍歷的列數
//vall      儲存方差值
//ker       視窗大小
//mean      為均值
//區域性方差求取
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;
}