accumulateWeighted函数简介



本文转自：http://blog.csdn.net/Scythe666/article/details/38147051

这是(II)中的Mat版本，特别注意一下accumulateWeighted这个函数的用法。

我将官方文档中的函数说明贴出来：

accumulateWeighted

Updates a running average.

C++:  void  accumulateWeighted (InputArray  src, InputOutputArray  dst, double  alpha, InputArray  mask=noArray()  )

Python:   cv2. accumulateWeighted (src, dst, alpha [, mask ] ) → None

C:  void  cvRunningAvg (const CvArr*  image, CvArr*  acc, double  alpha, const CvArr*  mask=NULL  )

Python:   cv. RunningAvg (image, acc, alpha, mask=None ) → None

Parameters:	src – Input image as 1- or 3-channel, 8-bit or 32-bit floating point. dst – Accumulator image with the same number of channels as input image, 32-bit or 64-bit floating-point. alpha – Weight of the input image. mask – Optional operation mask.

The function calculates the weighted sum of the input image src and the accumulator dst so that dst becomes a running average of a frame sequence:

That is, alpha regulates the update speed (how fast the accumulator “forgets” about earlier images). The function supports multi-channel images. Each channel is processed independently.

See also

 

accumulate(), accumulateSquare(), accumulateProduct()