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40 lines
1.6 KiB
ReStructuredText
40 lines
1.6 KiB
ReStructuredText
Inpainting
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==========
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.. highlight:: cpp
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inpaint
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-----------
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Restores the selected region in an image using the region neighborhood.
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.. ocv:function:: void inpaint( InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags )
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.. ocv:pyfunction:: cv2.inpaint(src, inpaintMask, inpaintRadius, flags[, dst]) -> dst
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.. ocv:cfunction:: void cvInpaint( const CvArr* src, const CvArr* inpaint_mask, CvArr* dst, double inpaintRange, int flags )
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.. ocv:pyoldfunction:: cv.Inpaint(src, mask, dst, inpaintRadius, flags) -> None
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:param src: Input 8-bit 1-channel or 3-channel image.
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:param inpaintMask: Inpainting mask, 8-bit 1-channel image. Non-zero pixels indicate the area that needs to be inpainted.
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:param dst: Output image with the same size and type as ``src`` .
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:param inpaintRadius: Radius of a circular neighborhood of each point inpainted that is considered by the algorithm.
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:param flags: Inpainting method that could be one of the following:
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* **INPAINT_NS** Navier-Stokes based method.
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* **INPAINT_TELEA** Method by Alexandru Telea [Telea04]_.
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The function reconstructs the selected image area from the pixel near the area boundary. The function may be used to remove dust and scratches from a scanned photo, or to remove undesirable objects from still images or video. See
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http://en.wikipedia.org/wiki/Inpainting
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for more details.
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.. note::
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* An example using the inpainting technique can be found at opencv_source_code/samples/cpp/inpaint.cpp
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* (Python) An example using the inpainting technique can be found at opencv_source_code/samples/python2/inpaint.py
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