Class GrayscaleFilter
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android.os.Parcelable
public final class GrayscaleFilter extends ParametricFilter
Converts color images to grayscale, optionally applying autocontrast.
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Field Summary
Fields Modifier and Type Field Description private final Float
borderWidthFraction
private final Float
blackOutliersFraction
private final Float
whiteOutliersFraction
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Constructor Summary
Constructors Constructor Description GrayscaleFilter(Float borderWidthFraction, Float blackOutliersFraction, Float whiteOutliersFraction)
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Method Summary
Modifier and Type Method Description final Float
getBorderWidthFraction()
Ignore this fraction of pixels at the edge of the image when calculating statistics. final Float
getBlackOutliersFraction()
Clip this fraction of the darkest pixels in operations such as autocontrast. final Float
getWhiteOutliersFraction()
Clip this fraction of the brightest pixels in operations such as autocontrast. -
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Method Detail
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getBorderWidthFraction
final Float getBorderWidthFraction()
Ignore this fraction of pixels at the edge of the image when calculating statistics.
Pixels at the edge of the image typically have poor statistics. Ignoring them and using only the inner pixels when calculating certain statistics can substantially improve the quality of the result.
The value must be less than 0.5 but usually good values are between 0 and 0.15.
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getBlackOutliersFraction
final Float getBlackOutliersFraction()
Clip this fraction of the darkest pixels in operations such as autocontrast.
Increasing the range of middle gray levels at the expense of the brightest and darkest levels may improve the overall contrast and quality of the result.
Sum of blackOutliersFraction and whiteOutliersFraction must be less than 1 but usually good values for the parameters do not exceed 0.05;
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getWhiteOutliersFraction
final Float getWhiteOutliersFraction()
Clip this fraction of the brightest pixels in operations such as autocontrast.
Increasing the range of middle gray levels at the expense of the brightest and darkest levels may improve the overall contrast and quality of the result.
Sum of blackOutliersFraction and whiteOutliersFraction must be less than 1 but usually good values for the parameters do not exceed 0.05;
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