ImageUtils

Value Members

1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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5. final def ==(arg0: Any): Boolean

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6. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

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8. def conv2D(img: Image, xFilter: Array[Double], yFilter: Array[Double]): Image

   Convolves images with two one-dimensional filters.

   Convolves images with two one-dimensional filters.

   img

   Image to be convolved.

   xFilter

   Horizontal convolution filter.

   yFilter

   Vertical convolution filter.

   returns

   Convolved image

9. def crop(im: Image, startX: Int, startY: Int, endX: Int, endY: Int): Image

   Crop an input image to the given bounding box described by (startX, startY, endX, endY).

   Crop an input image to the given bounding box described by (startX, startY, endX, endY).

   startX

   x-position (inclusive) to describe upper left corner of BB

   startY

   y-position (inclusive) to describe upper left corner of BB

   endX

   x-position (exclusive) to describe lower right corner of BB

   endY

   y-position (exclusive) to describe lower right corner of BB

   returns

   new image of size (endX - startX, endY - startY)

10. final def eq(arg0: AnyRef): Boolean

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11. def equals(arg0: Any): Boolean

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12. def finalize(): Unit

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13. def flipHorizontal(im: Image): Image

    Flip the image horizontally flipImage(im)(x,y,z) = im(x, im.

    Flip the image horizontally flipImage(im)(x,y,z) = im(x, im.metadata.yDim-y-1, z) for all valid (x,y,z).

    im

    An input image.

    returns

    A flipped image.

14. def flipImage(im: Image): Image

    Flip the image such that flipImage(im)(x,y,z) = im(im.

    Flip the image such that flipImage(im)(x,y,z) = im(im.metadata.xDim-x-1,im.metadata.yDim-y-1,im.metadata.numChannels-z-1) for all valid (x,y,z).

    im

    An input image.

    returns

    A flipped image.

15. final def getClass(): Class[_]

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16. def hashCode(): Int

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17. final def isInstanceOf[T0]: Boolean

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18. def loadImage(fileBytes: InputStream): Option[Image]

    Load image from file.

    Load image from file.

    fileBytes

    Bytes of an input file.

    returns

19. def log: Logger

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20. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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21. def logDebug(msg: ⇒ String): Unit

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22. def logError(msg: ⇒ String, throwable: Throwable): Unit

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23. def logError(msg: ⇒ String): Unit

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24. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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25. def logInfo(msg: ⇒ String): Unit

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26. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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27. def logTrace(msg: ⇒ String): Unit

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28. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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29. def logWarning(msg: ⇒ String): Unit

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30. def mapPixels(in: Image, fun: (Double) ⇒ Double): Image

    Apply a function to every pixel in the image.

    Apply a function to every pixel in the image. NOTE: This function creates a copy of the input image and does not affect the input image.

    in

    image to apply function to

    fun

    function that maps pixels from input to output

    returns

    new image that is the result of applying the function.

31. final def ne(arg0: AnyRef): Boolean

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32. final def notify(): Unit

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33. final def notifyAll(): Unit

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34. def pixelCombine(in: Image, in2: Image, fun: (Double, Double) ⇒ Double = _ + _): Image

    Combine two images applying a function on corresponding pixels.

    Combine two images applying a function on corresponding pixels. Requires both images to be of the same size

    in

    First input image

    in2

    Second input image

    fun

    Function that takes in a pair of pixels and returns the pixel in the combined image

    returns

    Combined image

35. def splitChannels(in: Image): Array[Image]

    Split an image into a number of images, one per channel of input image.

    Split an image into a number of images, one per channel of input image.

    in

    Input image to be split

    returns

    Array of images, one per channel of input image

36. final def synchronized[T0](arg0: ⇒ T0): T0

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37. def toGrayScale(in: Image): Image

    Converts an input image to Grayscale according to the NTSC standard weights for RGB images and using sqrt sum of squares for images with other numbers of channels.

    Converts an input image to Grayscale according to the NTSC standard weights for RGB images and using sqrt sum of squares for images with other numbers of channels.

    in

    Input image.

    returns

    Grayscaled image.

38. def toString(): String

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39. final def wait(): Unit

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

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41. final def wait(arg0: Long): Unit

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42. def writeImage(fname: String, in: Image, scale: Boolean = false): Boolean

    Writes image to file fname

    Writes image to file fname

    If Image is non-standard (that is, values not in [0,255], the "scale" argument can be passed. Currently assumes a 3 or 1-dimensional image.

    fname

    Destination filename.

    in

    Input image.

    scale

    Scale image to [0,255]

    returns