Package io.scanbot.sdk.imageprocessing

Class CustomBinarizationFilter

java.lang.Object

io.scanbot.sdk.imageprocessing.ParametricFilter

io.scanbot.sdk.imageprocessing.CustomBinarizationFilter

public class CustomBinarizationFilter
extends ParametricFilter

Automatic binarization filter. This filter is a good starting point for most use cases.

Constructor Summary

Constructors

Constructor	Description
CustomBinarizationFilter()	Constructs CustomBinarizationFilter with default parameters.
CustomBinarizationFilter(OutputMode outputMode, double denoise, int radius, BinarizationFilterPreset preset)	Constructs CustomBinarizationFilter with the given params.

Method Summary

Modifier and Type	Method	Description
double	getDenoise()	Getter for denoise field.
OutputMode	getOutputMode()	Getter for outputMode field.
BinarizationFilterPreset	getPreset()	Getter for preset field.
int	getRadius()	Getter for radius field.
void	setDenoise(double denoise)	Setter for denoise field.
void	setOutputMode(OutputMode outputMode)	Setter for outputMode field.
void	setPreset(BinarizationFilterPreset preset)	Setter for preset field.
void	setRadius(int radius)	Setter for radius field.

Methods inherited from class java.lang.Object

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

Constructor Detail

CustomBinarizationFilter

public CustomBinarizationFilter(OutputMode outputMode,
                                double denoise,
                                int radius,
                                BinarizationFilterPreset preset)

Constructs CustomBinarizationFilter with the given params.

Parameters:

outputMode - Output mode of the filter. BINARY will return a black and white image, GRAYSCALE will return an antialiased grayscale image. Default is BINARY

denoise - Value controlling the amount of noise removal. Value between 0 and 1. Too little noise removal may result in a very noisy image, worsening readability. Too much noise removal may result in the degradation of text, again, worsening readability. Default is 0.5

radius - Filter radius. The bigger the radius, the slower the filter and generally the less noise in the result. The radius is used for both shadows removal and the calculation of local statistics in the main body of the filter. Higher radius usually allows to cope better with regions of light text on dark background. All the values larger than 127 are clamped to 127. Default is 32

preset - Preset of binarization filter parameters that are found to perform well on different types of documents. Default is PRESET_4

CustomBinarizationFilter

public CustomBinarizationFilter()

Constructs CustomBinarizationFilter with default parameters.

Method Detail

getOutputMode

public OutputMode getOutputMode()

Getter for outputMode field. See constructor documentation for more information about the field.

Returns:

outputMode

setOutputMode

public void setOutputMode(OutputMode outputMode)

Setter for outputMode field. See constructor documentation for more information about the field.

Parameters:

outputMode - Value to set.

getDenoise

public double getDenoise()

Getter for denoise field. See constructor documentation for more information about the field.

Returns:

denoise

setDenoise

public void setDenoise(double denoise)

Setter for denoise field. See constructor documentation for more information about the field.

Parameters:

denoise - Value to set.

getRadius

public int getRadius()

Getter for radius field. See constructor documentation for more information about the field.

Returns:

radius

setRadius

public void setRadius(int radius)

Setter for radius field. See constructor documentation for more information about the field.

Parameters:

radius - Value to set.

getPreset

public BinarizationFilterPreset getPreset()

Getter for preset field. See constructor documentation for more information about the field.

Returns:

preset

setPreset

public void setPreset(BinarizationFilterPreset preset)

Setter for preset field. See constructor documentation for more information about the field.

Parameters:

preset - Value to set.