Package boofcv.alg.transform.pyramid
Class PyramidDiscreteSampleBlur<T extends ImageBase<T>>
java.lang.Object
boofcv.struct.pyramid.ImagePyramidBase<T>
boofcv.struct.pyramid.PyramidDiscrete<T>
boofcv.alg.transform.pyramid.PyramidDiscreteSampleBlur<T>
- All Implemented Interfaces:
ImagePyramid<T>
Convolves a re-normalizable blur kernel across the image before down sampling. This is useful for creating a Gaussian pyramid as well as other standard pyramids.
NOTE: This pyramid cannot be configured such that blur will be applied to the input image. It can be done by the user before the image is passed in.
NOTE: This blur magnitude is constant for each level in the pyramid. In general it is desirable to have it dependent on each level's scale factor.
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Field Summary
Fields inherited from class boofcv.struct.pyramid.PyramidDiscrete
levelScales
Fields inherited from class boofcv.struct.pyramid.ImagePyramidBase
bottomHeight, bottomWidth, layers, saveOriginalReference
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Constructor Summary
ModifierConstructorDescriptionprotected
PyramidDiscreteSampleBlur
(Kernel1D kernel, double sigma, ImageType<T> imageType, boolean saveOriginalReference, @Nullable ConfigDiscreteLevels configLayers) -
Method Summary
Modifier and TypeMethodDescriptionCreates a copy of the pyramids structure but not the pixel datadouble
getSampleOffset
(int layer) There is no offset since a symmetric kernel is applied starting at pixel (0,0)double
getSigma
(int layer) Returns the scale-space scale for the specified layer.void
Constructs the image pyramid given the input image.Methods inherited from class boofcv.struct.pyramid.PyramidDiscrete
computeScales, getNumLayers, getScale, getScales, initialize
Methods inherited from class boofcv.struct.pyramid.ImagePyramidBase
checkScales, getHeight, getImageType, getInputHeight, getInputWidth, getLayer, getWidth, isInitialized, isSaveOriginalReference, setFirstLayer, setSaveOriginalReference, setTo
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Constructor Details
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PyramidDiscreteSampleBlur
public PyramidDiscreteSampleBlur(Kernel1D kernel, double sigma, ImageType<T> imageType, boolean saveOriginalReference, @Nullable @Nullable ConfigDiscreteLevels configLayers) - Parameters:
kernel
- A blur kernelsigma
- The effective amount of Gaussian blur the kernel appliesimageType
- Type of image processedsaveOriginalReference
- If a reference to the full resolution image should be saved instead of copied. Set to false if you don't know what you are doing.configLayers
- Specifies how the levels are computed
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PyramidDiscreteSampleBlur
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Method Details
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process
Description copied from interface:ImagePyramid
Constructs the image pyramid given the input image. -
getSampleOffset
public double getSampleOffset(int layer) There is no offset since a symmetric kernel is applied starting at pixel (0,0)- Parameters:
layer
- Layer in the pyramid- Returns:
- offset
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getSigma
public double getSigma(int layer) Description copied from interface:ImagePyramid
Returns the scale-space scale for the specified layer. This scale is equivalent amount of Gaussian blur applied to the input image. If Gaussian blur is not applied to each layer then an approximation should be returned.- Parameters:
layer
- Layer in the pyramid- Returns:
- Equivalent sigma for Gaussian blur.
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copyStructure
Description copied from interface:ImagePyramid
Creates a copy of the pyramids structure but not the pixel data
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