NormalizedConvolution

Function which performs normalized averaging (often referred to as normalized convolution) of a field.

The result is similar to linear diffusion with Dirichlet boundary constraints (where the boundary is formed by the "certain" pixels in the field) but is much faster. This may not be what you want since it produces very fuzzy filled-in regions for large blocks of uncertain values.

Typical usage:

val image: Field  // image with missing pixels
val applicability = ApplicabilityFilter(width = 33, alpha = 3, beta = 0)
val certainty = ScalarField(...) // 1 => pixel certain, 0 => pixel unknown
val filteredImage = NormalizedConvolution(image, applicability, certainty)

Linear Supertypes

AnyRef, Any

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def apply(input: libcog.Field, applicability: libcog.Field, certainty: libcog.Field): libcog.Field

Fill in uncertain pixels.
Fill in uncertain pixels.
input
Input field with missing or uncertain pixels.
applicability
Applicability filter to use for interpolation. The object ApplicabilityFilter provides a simple way of generating some standard filters, though you may use others.
certainty
Scalar field of the same shape as input where each pixel specifies the certainty of the corresponding pixel in input. A value of 1.0 means "certain," a value of 0.0 means "unknown," with intermediate values allowable.
returns
The input field with uncertain pixels filled in.
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package spatial

object NormalizedConvolution

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def apply(input: libcog.Field, applicability: libcog.Field, certainty: libcog.Field): libcog.Field

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from AnyRef

Inherited from Any

Ungrouped