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Rolling Guidance Filter 非常有用處，為中國香港大學Qi Zhang，Xiaoyong Shen等所發明，其作用基本上可以認為是bilateral 的升級版。

Rolling Guidance Filter 在去移除和平滑圖像中的復雜的小區域時，還能保證大區域物體邊界的準確性。

因此，可以使用Rolling Guidance Filter 去除復雜背景，獲取物體輪廓，方便圖像分割。同時用其逆運算，可以增強圖像細節。

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獲取圖像輪廓

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Input

?	Canny of Input	Rolling Guidance Result	Canny of Rolling Guidance Result

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圖像增強

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Input

?	Detail Enhanced by Bilateral Filter	Detail Enhanced by Rolling Guidance (Ours)

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OpenCV 3.1.0 已經將此算法集成進去，接口定義方法見下：

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void cv::ximgproc::rollingGuidanceFilter

?	(	InputArray?	src,
?	?	OutputArray?	dst,
?	?	int?	d = -1,
?	?	double?	sigmaColor = 25,
?	?	double?	sigmaSpace = 3,
?	?	int?	numOfIter = 4,
?	?	int?	borderType = BORDER_DEFAULT?
?	)	?	?

Applies the rolling guidance filter to an image.

Parameters

src	Source 8-bit or floating-point, 1-channel or 3-channel image.
dst	Destination image of the same size and type as src.
d	Diameter of each pixel neighborhood that is used during filtering. If it is non-positive, it is computed from sigmaSpace .
sigmaColor	Filter sigma in the color space. A larger value of the parameter means that farther colors within the pixel neighborhood (see sigmaSpace ) will be mixed together, resulting in larger areas of semi-equal color.
sigmaSpace	Filter sigma in the coordinate space. A larger value of the parameter means that farther pixels will influence each other as long as their colors are close enough (see sigmaColor ). When d>0 , it specifies the neighborhood size regardless of sigmaSpace . Otherwise, d is proportional to sigmaSpace .
numOfIter	Number of iterations of joint edge-preserving filtering applied on the source image.
borderType	?

Note

rollingGuidanceFilter uses jointBilateralFilter as the edge-preserving filter.

See also

jointBilateralFilter, bilateralFilter, amFilter

總結

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