A 2D "Mean Shift" filter implementation.
More...
A 2D "Mean Shift" filter implementation.
Performs a noise an efficient reduction using clustering
- See also
- Mean Shift on Wikipedia
- Author
- Vincent Morard
-
Jose-Marcio Martins da Cruz (port from
Morph-M
)
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template<class T > |
RES_T | meanShiftFilter (const Image< T > &imIn, const UINT8 radius, const int tonalDistance, Image< T > &imOut) |
| Performs a noise an efficient reduction using clustering. More...
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template<class T > |
RES_T | meanShiftFilterRGB (const Image< T > &imIn, const UINT8 radius, const int tonalDistance, Image< T > &imOut) |
| Performs a noise an efficient reduction using clustering (RGB Images) More...
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◆ meanShiftFilter()
RES_T meanShiftFilter |
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const Image< T > & |
imIn, |
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const UINT8 |
radius, |
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const int |
tonalDistance, |
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Image< T > & |
imOut |
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) |
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Performs a noise an efficient reduction using clustering.
- Parameters
-
[in] | imIn | : input Image |
[in] | radius | : |
[in] | tonalDistance | : |
[out] | imOut | : output Image |
◆ meanShiftFilterRGB()
RES_T meanShiftFilterRGB |
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const Image< T > & |
imIn, |
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const UINT8 |
radius, |
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const int |
tonalDistance, |
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Image< T > & |
imOut |
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) |
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Performs a noise an efficient reduction using clustering (RGB Images)
- Parameters
-
[in] | imIn | : input Image |
[in] | radius | : |
[in] | tonalDistance | : |
[out] | imOut | : output Image |
- Warning
- Yet to be done !!!