Value Members

1.  final def !=(arg0: Any): Boolean

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2.  final def ##: Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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   protected[lang]

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   @throws(classOf[java.lang.CloneNotSupportedException]) @native()

6.  final def eq(arg0: AnyRef): Boolean

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7.  def equals(arg0: AnyRef): Boolean

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8.  def finalize(): Unit

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9.  final def getClass(): Class[_ <: AnyRef]

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   @native()

10.  def hashCode(): Int

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    @native()

11.  final def isInstanceOf[T0]: Boolean

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12.  def measureROI(imp: ImagePlus, roi: Roi): Seq[ImageStatistics]
13.  final def ne(arg0: AnyRef): Boolean

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14.  final def notify(): Unit

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    @native()

15.  final def notifyAll(): Unit

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    @native()

16.  def slices(imp: ImagePlus): Seq[ImageProcessor]
17.  final def synchronized[T0](arg0: => T0): T0

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18.  def toRGBStackImp(cp: ColorProcessor): ImagePlus
19.  def toString(): String

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20.  final def wait(): Unit

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    @throws(classOf[java.lang.InterruptedException])

21.  final def wait(arg0: Long, arg1: Int): Unit

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22.  final def wait(arg0: Long): Unit

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23.  def whiteBalance(imp: ImagePlus, redMult: Double, blueMult: Double): ImagePlus

    White balance an image using provided multiplier for read and blue channel.

    White balance an image using provided multiplier for read and blue channel. Green chanel is not changed.

    imp

    source image

    redMult

    red channel multiplier

    blueMult

    blue channel multiplier

    returns

    white-balanced image

24.  def whiteBalance(imp: ImagePlus, roi: Roi, averagingMode: AveragingMode): (ImagePlus, Double, Double)

    White balance an image using provided ROI.

    White balance an image using provided ROI.

    imp

    input colr images with an ROI over a neutral color area.

    averagingMode

    what method is used to find an average channel value within the ROI.

    returns

    white-balanced image.

25.  def whiteBalance(imp: ImagePlus, roi: Roi): (ImagePlus, Double, Double)

    White balance an image using provided ROI.

    White balance an image using provided ROI. Median color value within ROI is used.

    imp

    image to correct

    roi

    area to use for computing white balance

    returns

    white-balanced image

26.  def whiteBalance(cp: ColorProcessor, roi: Roi, averagingMode: AveragingMode): (ColorProcessor, Double, Double)

    White balance an image using provided ROI.

    White balance an image using provided ROI.

    cp

    input colr images with an ROI over a neutral color area.

    averagingMode

    what method is used to find an average channel value within the ROI.

    returns

    white-balanced image.

27.  def whiteBalance(cp: ColorProcessor, roi: Roi): (ColorProcessor, Double, Double)

    White balance an image using provided ROI.

    White balance an image using provided ROI. Median color value within ROI is used.

    cp

    image to correct

    roi

    area to use for computing white balance

    returns

    white-balanced image

28.  def whiteBalanceRGBStack(imp: ImagePlus, roi: Roi, averagingMode: AveragingMode): (ImagePlus, Double, Double)

    White balance an image using provided ROI.

    White balance an image using provided ROI. Assume that the source image is a stack with 3 gray level bands corresponding to Red, Green, and Blue.

    imp

    input colr images with an ROI over a neutral color area.

    averagingMode

    what method is used to find an average channel value within the ROI.

    returns

    white-balanced image