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

Modifier and Type	Method and Description
static GrayF32	gaussian(GrayF32 input, GrayF32 output, double sigma, int radius, GrayF32 storage) Applies Gaussian blur.
static GrayF64	gaussian(GrayF64 input, GrayF64 output, double sigma, int radius, GrayF64 storage) Applies Gaussian blur.
static GrayU8	gaussian(GrayU8 input, GrayU8 output, double sigma, int radius, GrayU8 storage) Applies Gaussian blur.
static <T extends ImageGray> Planar<T>	gaussian(Planar<T> input, Planar<T> output, double sigma, int radius, T storage) Applies Gaussian blur to a Planar
static GrayF32	mean(GrayF32 input, GrayF32 output, int radius, GrayF32 storage) Applies a mean box filter.
static GrayF64	mean(GrayF64 input, GrayF64 output, int radius, GrayF64 storage) Applies a mean box filter.
static GrayU8	mean(GrayU8 input, GrayU8 output, int radius, GrayU8 storage) Applies a mean box filter.
static <T extends ImageGray> Planar<T>	mean(Planar<T> input, Planar<T> output, int radius, T storage) Applies mean box filter to a Planar
static GrayF32	median(GrayF32 input, GrayF32 output, int radius) Applies a median filter.
static GrayU8	median(GrayU8 input, GrayU8 output, int radius) Applies a median filter.
static <T extends ImageGray> Planar<T>	median(Planar<T> input, Planar<T> output, int radius) Applies median filter to a Planar

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 GrayU8 mean(GrayU8 input,
                          GrayU8 output,
                          int radius,
                          GrayU8 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 GrayU8 median(GrayU8 input,
                            GrayU8 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 GrayU8 gaussian(GrayU8 input,
                              GrayU8 output,
                              double sigma,
                              int radius,
                              GrayU8 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 GrayF32 mean(GrayF32 input,
                           GrayF32 output,
                           int radius,
                           GrayF32 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.

mean

public static GrayF64 mean(GrayF64 input,
                           GrayF64 output,
                           int radius,
                           GrayF64 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 GrayF32 median(GrayF32 input,
                             GrayF32 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 GrayF32 gaussian(GrayF32 input,
                               GrayF32 output,
                               double sigma,
                               int radius,
                               GrayF32 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.

gaussian

public static GrayF64 gaussian(GrayF64 input,
                               GrayF64 output,
                               double sigma,
                               int radius,
                               GrayF64 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 ImageGray> Planar<T> mean(Planar<T> input,
                                                   Planar<T> output,
                                                   int radius,
                                                   T storage)

Applies mean box filter to a Planar

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 ImageGray> Planar<T> median(Planar<T> input,
                                                     Planar<T> output,
                                                     int radius)

Applies median filter to a Planar

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 ImageGray> Planar<T> gaussian(Planar<T> input,
                                                       Planar<T> output,
                                                       double sigma,
                                                       int radius,
                                                       T storage)

Applies Gaussian blur to a Planar

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.