Meanshift Filter.
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| AFAPI array | meanShift (const array &in, const float spatial_sigma, const float chromatic_sigma, const unsigned iter, const bool is_color=false) |
| | C++ Interface for mean shift. More...
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| AFAPI af_err | af_mean_shift (af_array *out, const af_array in, const float spatial_sigma, const float chromatic_sigma, const unsigned iter, const bool is_color) |
| | C Interface for mean shift. More...
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Meanshift Filter.
A meanshift filter is an edge-preserving smoothing filter commonly used in object tracking and image segmentation.
This filter replaces each pixel in the image with the mean of the values within a given given color and spatial radius. The meanshift filter is an iterative algorithm that continues until a maxium number of iterations is met or until the value of the means no longer changes.
| AFAPI af_err af_mean_shift |
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af_array * |
out, |
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const af_array |
in, |
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const float |
spatial_sigma, |
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const float |
chromatic_sigma, |
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const unsigned |
iter, |
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const bool |
is_color |
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) |
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C Interface for mean shift.
- Parameters
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| [out] | out | array is the processed image |
| [in] | in | array is the input image |
| [in] | spatial_sigma | is the spatial variance parameter that decides the filter window |
| [in] | chromatic_sigma | is the chromatic variance parameter |
| [in] | iter | is the number of iterations filter operation is performed |
| [in] | is_color | indicates if the input in is color image or grayscale |
- Returns
- AF_SUCCESS if the filter is applied successfully, otherwise an appropriate error code is returned.
| AFAPI array af::meanShift |
( |
const array & |
in, |
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const float |
spatial_sigma, |
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const float |
chromatic_sigma, |
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const unsigned |
iter, |
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const bool |
is_color = false |
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) |
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C++ Interface for mean shift.
- Parameters
-
| [in] | in | array is the input image |
| [in] | spatial_sigma | is the spatial variance parameter that decides the filter window |
| [in] | chromatic_sigma | is the chromatic variance parameter |
| [in] | iter | is the number of iterations filter operation is performed |
| [in] | is_color | indicates if the input in is color image or grayscale |
- Returns
- the processed image
- Examples:
- image_processing/brain_segmentation.cpp.
