boofcv.alg.filter.blur

Class BlurImageOps

java.lang.Object

boofcv.alg.filter.blur.BlurImageOps

public class BlurImageOps
extends java.lang.Object

Catch all class for function which "blur" an image, typically used to "reduce" the amount of noise in the image.

Constructor Summary

Constructors

Constructor and Description
BlurImageOps()

Method Summary

Methods

Modifier and Type	Method and Description
static ImageFloat32	gaussian(ImageFloat32 input, ImageFloat32 output, double sigma, int radius, ImageFloat32 storage) Applies Gaussian blur.
static ImageUInt8	gaussian(ImageUInt8 input, ImageUInt8 output, double sigma, int radius, ImageUInt8 storage) Applies Gaussian blur.
static <T extends ImageSingleBand> MultiSpectral<T>	gaussian(MultiSpectral<T> input, MultiSpectral<T> output, double sigma, int radius, T storage) Applies Gaussian blur to a MultiSpectral
static ImageFloat32	mean(ImageFloat32 input, ImageFloat32 output, int radius, ImageFloat32 storage) Applies a mean box filter.
static ImageUInt8	mean(ImageUInt8 input, ImageUInt8 output, int radius, ImageUInt8 storage) Applies a mean box filter.
static <T extends ImageSingleBand> MultiSpectral<T>	mean(MultiSpectral<T> input, MultiSpectral<T> output, int radius, T storage) Applies mean box filter to a MultiSpectral
static ImageFloat32	median(ImageFloat32 input, ImageFloat32 output, int radius) Applies a median filter.
static ImageUInt8	median(ImageUInt8 input, ImageUInt8 output, int radius) Applies a median filter.
static <T extends ImageSingleBand> MultiSpectral<T>	median(MultiSpectral<T> input, MultiSpectral<T> output, int radius) Applies median filter to a MultiSpectral

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

BlurImageOps

public BlurImageOps()

Method Detail

mean

public static ImageUInt8 mean(ImageUInt8 input,
              ImageUInt8 output,
              int radius,
              ImageUInt8 storage)

Applies a mean box filter.

Parameters:

input - Input image. Not modified.

output - (Optional) Storage for output image, Can be null. Modified.

radius - Radius of the box blur function.

storage - (Optional) Storage for intermediate results. Same size as input image. Can be null.

Returns:

Output blurred image.

median

public static ImageUInt8 median(ImageUInt8 input,
                ImageUInt8 output,
                int radius)

Applies a median filter.

Parameters:

input - Input image. Not modified.

output - (Optional) Storage for output image, Can be null. Modified.

radius - Radius of the median blur function.

Returns:

Output blurred image.

gaussian

public static ImageUInt8 gaussian(ImageUInt8 input,
                  ImageUInt8 output,
                  double sigma,
                  int radius,
                  ImageUInt8 storage)

Applies Gaussian blur.

Parameters:

input - Input image. Not modified.

output - (Optional) Storage for output image, Can be null. Modified.

sigma - Gaussian distribution's sigma. If <= 0 then will be selected based on radius.

radius - Radius of the Gaussian blur function. If <= 0 then radius will be determined by sigma.

storage - (Optional) Storage for intermediate results. Same size as input image. Can be null.

Returns:

Output blurred image.

mean

public static ImageFloat32 mean(ImageFloat32 input,
                ImageFloat32 output,
                int radius,
                ImageFloat32 storage)

Applies a mean box filter.

Parameters:

input - Input image. Not modified.

output - (Optional) Storage for output image, Can be null. Modified.

radius - Radius of the box blur function.

storage - (Optional) Storage for intermediate results. Same size as input image. Can be null.

Returns:

Output blurred image.

median

public static ImageFloat32 median(ImageFloat32 input,
                  ImageFloat32 output,
                  int radius)

Applies a median filter.

Parameters:

input - Input image. Not modified.

output - (Optional) Storage for output image, Can be null. Modified.

radius - Radius of the median blur function.

Returns:

Output blurred image.

gaussian

public static ImageFloat32 gaussian(ImageFloat32 input,
                    ImageFloat32 output,
                    double sigma,
                    int radius,
                    ImageFloat32 storage)

Applies Gaussian blur.

Parameters:

input - Input image. Not modified.

output - (Optional) Storage for output image, Can be null. Modified.

sigma - Gaussian distribution's sigma. If <= 0 then will be selected based on radius.

radius - Radius of the Gaussian blur function. If <= 0 then radius will be determined by sigma.

storage - (Optional) Storage for intermediate results. Same size as input image. Can be null.

Returns:

Output blurred image.

mean

public static <T extends ImageSingleBand> MultiSpectral<T> mean(MultiSpectral<T> input,
                                                MultiSpectral<T> output,
                                                int radius,
                                                T storage)

Applies mean box filter to a MultiSpectral

Type Parameters:

T - Input image type.

Parameters:

input - Input image. Not modified.

output - (Optional) Storage for output image, Can be null. Modified.

radius - Radius of the box blur function.

storage - (Optional) Storage for intermediate results. Same size as input image. Can be null.

Returns:

Output blurred image.

median

public static <T extends ImageSingleBand> MultiSpectral<T> median(MultiSpectral<T> input,
                                                  MultiSpectral<T> output,
                                                  int radius)

Applies median filter to a MultiSpectral

Type Parameters:

T - Input image type.

Parameters:

input - Input image. Not modified.

output - (Optional) Storage for output image, Can be null. Modified.

radius - Radius of the median blur function.

Returns:

Output blurred image.

gaussian

public static <T extends ImageSingleBand> MultiSpectral<T> gaussian(MultiSpectral<T> input,
                                                    MultiSpectral<T> output,
                                                    double sigma,
                                                    int radius,
                                                    T storage)

Applies Gaussian blur to a MultiSpectral

Type Parameters:

T - Input image type.

Parameters:

input - Input image. Not modified.

output - (Optional) Storage for output image, Can be null. Modified.

sigma - Gaussian distribution's sigma. If <= 0 then will be selected based on radius.

radius - Radius of the Gaussian blur function. If <= 0 then radius will be determined by sigma.

storage - (Optional) Storage for intermediate results. Same size as input image. Can be null.

Returns:

Output blurred image.