//src: 输入数据
//minPeakDistance: 相邻两个局部极大值的最小间距。
//minHeightDiff: kernelSize范围内极大值与极小值的最小差值。与matlab的threshold目的一样，用来剔除flat peaks。
//minPeakHeight：Peak的值低于minPeakHeight会被排除。
void localMaxima(vector<double> src,const int minPeakDistance,const double minHeightDiff,const double minPeakHeight,int* maxLoc)
{ 
	int kernelSize = minPeakDistance;//kernelSize指局部区域半径
	int minLoc=0;
	double minVal=0,maxVal=0,diff=0;
	Point minLocPt,maxLocPt;
	
	Mat m(src);
	*maxLoc = -1;//means not find localMaxima
	
	for (size_t Loc = kernelSize; Loc < src.size()-kernelSize; Loc++)
	{
		Mat m_part = m.rowRange(Loc-kernelSize,Loc+kernelSize);//获取[Loc-kernelSize,Loc+kernelSize]范围内数据
		minMaxLoc(m_part,&minVal,&maxVal,&minLocPt,&maxLocPt);//计算极大值位置

		//maxLocPt.y == kernelSize,极大值应该在kernel区域中心
		//使用minHeightDiff来剔除flat peaks
		if(maxLocPt.y == kernelSize && maxVal > minPeakHeight &&
			maxVal - minVal > minHeightDiff && maxVal - minVal > diff)
		{
			*maxLoc = Loc -kernelSize + maxLocPt.y;
			diff = maxVal - minVal;
		}
	}
}