DiffuseDirichlet

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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. def apply(image: libcog.Field, sources: libcog.ScalarField, iterationCap: Int = 40): libcog.Field

   

   Diffuse from "sources" in "image" until diffusion stops at insulating "boundaries".

   Diffuse from "sources" in "image" until diffusion stops at insulating "boundaries".

   image

   The image to be diffused.

   sources

   The pixels in the image which are to be considered Dirichlet boundaries or sources that do not change as a result of the diffusion. A non-zero scalar in the field => "source", while a zero scalar => pixel that can be diffused through. This field essentially samples "image" to define the Dirichlet boundary constraints. THIS SHOULD BE A BINARY FIELD, 0's and 1's.

   iterationCap

   The maximum number of diffusion iterations to run per level in the image pyramid.

   returns

   The diffused version of "image" subject to the constraints in "sources" and "boundaries"

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

   

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9. def finalize(): Unit

   

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

    

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