boofcv.alg.filter.binary

Class ThresholdImageOps

java.lang.Object

boofcv.alg.filter.binary.ThresholdImageOps

public class ThresholdImageOps
extends Object

Operations for thresholding images and converting them into a binary image.

WARNING: Do not modify. Automatically generated by boofcv.alg.filter.binary.GenerateThresholdImageOps.

Author:

Peter Abeles

Constructor Summary

Constructors

Constructor and Description
ThresholdImageOps()

Method Summary

Methods

Modifier and Type	Method and Description
static ImageUInt8	adaptiveGaussian(ImageFloat32 input, ImageUInt8 output, int radius, float bias, boolean down, ImageFloat32 storage1, ImageFloat32 storage2) Thresholds the image using an adaptive threshold that is computed using a local square region centered on each pixel.
static ImageUInt8	adaptiveGaussian(ImageUInt8 input, ImageUInt8 output, int radius, int bias, boolean down, ImageUInt8 storage1, ImageUInt8 storage2) Thresholds the image using an adaptive threshold that is computed using a local square region centered on each pixel.
static ImageUInt8	adaptiveSquare(ImageFloat32 input, ImageUInt8 output, int radius, float bias, boolean down, ImageFloat32 storage1, ImageFloat32 storage2) Thresholds the image using an adaptive threshold that is computed using a local square region centered on each pixel.
static ImageUInt8	adaptiveSquare(ImageUInt8 input, ImageUInt8 output, int radius, int bias, boolean down, ImageUInt8 storage1, ImageUInt8 storage2) Thresholds the image using an adaptive threshold that is computed using a local square region centered on each pixel.
static ImageUInt8	threshold(ImageFloat32 input, ImageUInt8 output, float threshold, boolean down) Applies a global threshold across the whole image.
static ImageUInt8	threshold(ImageFloat64 input, ImageUInt8 output, double threshold, boolean down) Applies a global threshold across the whole image.
static ImageUInt8	threshold(ImageSInt16 input, ImageUInt8 output, int threshold, boolean down) Applies a global threshold across the whole image.
static ImageUInt8	threshold(ImageSInt32 input, ImageUInt8 output, int threshold, boolean down) Applies a global threshold across the whole image.
static ImageUInt8	threshold(ImageUInt16 input, ImageUInt8 output, int threshold, boolean down) Applies a global threshold across the whole image.
static ImageUInt8	threshold(ImageUInt8 input, ImageUInt8 output, int threshold, boolean down) Applies a global threshold across the whole image.

Methods inherited from class java.lang.Object

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

Constructor Detail

ThresholdImageOps

public ThresholdImageOps()

Method Detail

threshold

public static ImageUInt8 threshold(ImageFloat32 input,
                   ImageUInt8 output,
                   float threshold,
                   boolean down)

Applies a global threshold across the whole image. If 'down' is true, then pixels with values <= to 'threshold' are set to 1 and the others set to 0. If 'down' is false, then pixels with values >= to 'threshold' are set to 1 and the others set to 0.

Parameters:

input - Input image. Not modified.

output - Binary output image. If null a new image will be declared. Modified.

threshold - threshold value.

down - If true then the inequality <= is used, otherwise if false then >= is used.

Returns:

Output image.

threshold

public static ImageUInt8 threshold(ImageFloat64 input,
                   ImageUInt8 output,
                   double threshold,
                   boolean down)

Applies a global threshold across the whole image. If 'down' is true, then pixels with values <= to 'threshold' are set to 1 and the others set to 0. If 'down' is false, then pixels with values >= to 'threshold' are set to 1 and the others set to 0.

Parameters:

input - Input image. Not modified.

output - Binary output image. If null a new image will be declared. Modified.

threshold - threshold value.

down - If true then the inequality <= is used, otherwise if false then >= is used.

Returns:

Output image.

threshold

public static ImageUInt8 threshold(ImageUInt8 input,
                   ImageUInt8 output,
                   int threshold,
                   boolean down)

Applies a global threshold across the whole image. If 'down' is true, then pixels with values <= to 'threshold' are set to 1 and the others set to 0. If 'down' is false, then pixels with values >= to 'threshold' are set to 1 and the others set to 0.

Parameters:

input - Input image. Not modified.

output - Binary output image. If null a new image will be declared. Modified.

threshold - threshold value.

down - If true then the inequality <= is used, otherwise if false then >= is used.

Returns:

Output image.

threshold

public static ImageUInt8 threshold(ImageSInt16 input,
                   ImageUInt8 output,
                   int threshold,
                   boolean down)

Applies a global threshold across the whole image. If 'down' is true, then pixels with values <= to 'threshold' are set to 1 and the others set to 0. If 'down' is false, then pixels with values >= to 'threshold' are set to 1 and the others set to 0.

Parameters:

input - Input image. Not modified.

output - Binary output image. If null a new image will be declared. Modified.

threshold - threshold value.

down - If true then the inequality <= is used, otherwise if false then >= is used.

Returns:

Output image.

threshold

public static ImageUInt8 threshold(ImageUInt16 input,
                   ImageUInt8 output,
                   int threshold,
                   boolean down)

Applies a global threshold across the whole image. If 'down' is true, then pixels with values <= to 'threshold' are set to 1 and the others set to 0. If 'down' is false, then pixels with values >= to 'threshold' are set to 1 and the others set to 0.

Parameters:

input - Input image. Not modified.

output - Binary output image. If null a new image will be declared. Modified.

threshold - threshold value.

down - If true then the inequality <= is used, otherwise if false then >= is used.

Returns:

Output image.

threshold

public static ImageUInt8 threshold(ImageSInt32 input,
                   ImageUInt8 output,
                   int threshold,
                   boolean down)

Applies a global threshold across the whole image. If 'down' is true, then pixels with values <= to 'threshold' are set to 1 and the others set to 0. If 'down' is false, then pixels with values >= to 'threshold' are set to 1 and the others set to 0.

Parameters:

input - Input image. Not modified.

output - Binary output image. If null a new image will be declared. Modified.

threshold - threshold value.

down - If true then the inequality <= is used, otherwise if false then >= is used.

Returns:

Output image.

adaptiveSquare

public static ImageUInt8 adaptiveSquare(ImageUInt8 input,
                        ImageUInt8 output,
                        int radius,
                        int bias,
                        boolean down,
                        ImageUInt8 storage1,
                        ImageUInt8 storage2)

Thresholds the image using an adaptive threshold that is computed using a local square region centered on each pixel. The threshold is equal to the average value of the surrounding pixels plus the bias. If down is true then b(x,y) = I(x,y) <= T(x,y) + bias ? 1 : 0. Otherwise b(x,y) = I(x,y) >= T(x,y) + bias ? 0 : 1

Parameters:

input - Input image.

output - (optional) Output binary image. If null it will be declared internally.

radius - Radius of square region.

bias - Bias used to adjust threshold

down - Should it threshold up or down.

storage1 - (Optional) Storage for intermediate step. If null will be declared internally.

storage2 - (Optional) Storage for intermediate step. If null will be declared internally.

Returns:

Thresholded image.

adaptiveGaussian

public static ImageUInt8 adaptiveGaussian(ImageUInt8 input,
                          ImageUInt8 output,
                          int radius,
                          int bias,
                          boolean down,
                          ImageUInt8 storage1,
                          ImageUInt8 storage2)

Thresholds the image using an adaptive threshold that is computed using a local square region centered on each pixel. The threshold is equal to the gaussian weighted sum of the surrounding pixels plus the bias. If down is true then b(x,y) = I(x,y) <= T(x,y) + bias ? 1 : 0. Otherwise b(x,y) = I(x,y) >= T(x,y) + bias ? 0 : 1

Parameters:

input - Input image.

output - (optional) Output binary image. If null it will be declared internally.

radius - Radius of square region.

bias - Bias used to adjust threshold

down - Should it threshold up or down.

storage1 - (Optional) Storage for intermediate step. If null will be declared internally.

storage2 - (Optional) Storage for intermediate step. If null will be declared internally.

Returns:

Thresholded image.

adaptiveSquare

public static ImageUInt8 adaptiveSquare(ImageFloat32 input,
                        ImageUInt8 output,
                        int radius,
                        float bias,
                        boolean down,
                        ImageFloat32 storage1,
                        ImageFloat32 storage2)

Thresholds the image using an adaptive threshold that is computed using a local square region centered on each pixel. The threshold is equal to the average value of the surrounding pixels plus the bias. If down is true then b(x,y) = I(x,y) <= T(x,y) + bias ? 1 : 0. Otherwise b(x,y) = I(x,y) >= T(x,y) + bias ? 0 : 1

Parameters:

input - Input image.

output - (optional) Output binary image. If null it will be declared internally.

radius - Radius of square region.

bias - Bias used to adjust threshold

down - Should it threshold up or down.

storage1 - (Optional) Storage for intermediate step. If null will be declared internally.

storage2 - (Optional) Storage for intermediate step. If null will be declared internally.

Returns:

Thresholded image.

adaptiveGaussian

public static ImageUInt8 adaptiveGaussian(ImageFloat32 input,
                          ImageUInt8 output,
                          int radius,
                          float bias,
                          boolean down,
                          ImageFloat32 storage1,
                          ImageFloat32 storage2)

Thresholds the image using an adaptive threshold that is computed using a local square region centered on each pixel. The threshold is equal to the gaussian weighted sum of the surrounding pixels plus the bias. If down is true then b(x,y) = I(x,y) <= T(x,y) + bias ? 1 : 0. Otherwise b(x,y) = I(x,y) >= T(x,y) + bias ? 0 : 1

Parameters:

input - Input image.

output - (optional) Output binary image. If null it will be declared internally.

radius - Radius of square region.

bias - Bias used to adjust threshold

down - Should it threshold up or down.

storage1 - (Optional) Storage for intermediate step. If null will be declared internally.

storage2 - (Optional) Storage for intermediate step. If null will be declared internally.

Returns:

Thresholded image.