abstract class MeanPointwiseLossMetric[D, A] extends ImageMetric[D, A]
Image to image metric which applies a loss function to the pointwise pixel difference. The total value of the metric is the mean of this pointwise loss. The points are determined by the sampler.
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- MeanPointwiseLossMetric
- ImageMetric
- RegistrationMetric
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Instance Constructors
- new MeanPointwiseLossMetric(fixedImage: Field[D, A], movingImage: DifferentiableField[D, A], transformationSpace: TransformationSpace[D], sampler: Sampler[D])(implicit arg0: NDSpace[D], arg1: Scalar[A])
Abstract Value Members
- abstract def fixedImage: Field[D, A]
- Definition Classes
- ImageMetric
- abstract def lossFunction(v: A): Double
- Attributes
- protected
- abstract def lossFunctionDerivative(v: A): Double
- Attributes
- protected
- abstract def movingImage: DifferentiableField[D, A]
- Definition Classes
- ImageMetric
- abstract def scalar: Scalar[A]
- Definition Classes
- ImageMetric
- abstract def transformationSpace: TransformationSpace[D]
- Definition Classes
- RegistrationMetric
Concrete Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##(): Int
- Definition Classes
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- final def ==(arg0: Any): Boolean
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- def derivative(parameters: DenseVector[Double]): DenseVector[Double]
Computes the derivative of the metric at the point given by the parameters.
Computes the derivative of the metric at the point given by the parameters.
- Definition Classes
- MeanPointwiseLossMetric → RegistrationMetric
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
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- def equals(arg0: AnyRef): Boolean
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- def finalize(): Unit
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- final def isInstanceOf[T0]: Boolean
- Definition Classes
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- val ndSpace: NDSpace[D]
- Definition Classes
- MeanPointwiseLossMetric → RegistrationMetric
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
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- final def notify(): Unit
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- def toString(): String
- Definition Classes
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- def value(parameters: DenseVector[Double]): Double
Computes the metric value for the given parameter vector
Computes the metric value for the given parameter vector
- Definition Classes
- MeanPointwiseLossMetric → RegistrationMetric
- def valueAndDerivative(parameters: DenseVector[Double]): ValueAndDerivative
Computes value and derivative in one go.
Computes value and derivative in one go. It should be the same as calling value and takeDerivative separately, but allows for more efficient implementations.
- Definition Classes
- MeanPointwiseLossMetric → RegistrationMetric
- final def wait(): Unit
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- final def wait(arg0: Long, arg1: Int): Unit
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- final def wait(arg0: Long): Unit
- Definition Classes
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- @throws(classOf[java.lang.InterruptedException]) @native()