case class GaussianGradientImagePreprocessor(stddev: Double, ioMetadata: IOMetadata = GaussianGradientImagePreprocessor.IOMetadata_Default) extends ImagePreprocessor with Product with Serializable
Image preprocessor that calculates a gradient image from the input image. The following steps are performed:
1. The image is filtered using a Gaussian filter. The sigma parameter used for the filter is passed through from stddev. If stddev is 0, then no blurring is performed.
2. The resulting image is interpolated (using B-Spline interpolation of order 1).
3. The resulting image is differentiated to produce a gradient image.
- stddev
the standard deviation (in millimeters) to use for the gaussian blur filter. Set to 0 to disable blurring.
- ioMetadata
IO Metadata
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- new GaussianGradientImagePreprocessor(stddev: Double, ioMetadata: IOMetadata = GaussianGradientImagePreprocessor.IOMetadata_Default)
- stddev
the standard deviation (in millimeters) to use for the gaussian blur filter. Set to 0 to disable blurring.
- ioMetadata
IO Metadata
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- def andThen[A](g: (PreprocessedImage) => A): (DiscreteImage[_3D, Float]) => A
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- def apply(inputImage: DiscreteImage[_3D, Float]): PreprocessedImage
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- val ioMetadata: IOMetadata
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- val stddev: Double
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