Package | Description |
---|---|
org.anchoranalysis.experiment.arguments |
Arguments that can further specify an experiment in addition to its bean specification.
|
org.anchoranalysis.experiment.io |
Interfaces for replacing attributes of an experiment: input, output, task etc.
|
org.anchoranalysis.image.bean.nonbean.init |
Classes that aren't AnchorBeans that pertain to the initialization of image-related beans.
|
org.anchoranalysis.image.bean.spatial |
Beans to define entities or operate that consider Euclidian space.
|
org.anchoranalysis.image.core.dimensions.size.suggestion |
Suggestions on a size for an image.
|
org.anchoranalysis.image.io |
Reading and writing of image-related data objects to and from the filesystem.
|
org.anchoranalysis.plugin.image.bean.scale |
Implementations of
ScaleCalculator for calculating
a scaling-factor from dimensions. |
org.anchoranalysis.plugin.image.task.bean.scale |
Tasks to scale an image.
|
Modifier and Type | Method and Description |
---|---|
Optional<ImageSizeSuggestion> |
TaskArguments.getSize()
Suggests dimensions or a scaling-factor to resize an image to.
|
Constructor and Description |
---|
TaskArguments(Optional<ImageSizeSuggestion> size)
Creates with a specific initial size-suggestion.
|
Modifier and Type | Method and Description |
---|---|
Optional<ImageSizeSuggestion> |
InitializationContext.getSuggestedSize()
A suggested input on how to resize an image, if one is provided.
|
Constructor and Description |
---|
InitializationContext(InputOutputContext inputOutput,
Optional<ImageSizeSuggestion> suggestedSize) |
Modifier and Type | Method and Description |
---|---|
Optional<ImageSizeSuggestion> |
ImageInitialization.suggestedSize()
A suggested input on how to resize an image, if one is provided.
|
Constructor and Description |
---|
ImageInitialization(SharedObjects sharedObjects,
Optional<ImageSizeSuggestion> suggestedSize)
Create with shared-objects and a resizing suggestion.
|
Modifier and Type | Method and Description |
---|---|
abstract ScaleFactor |
ScaleCalculator.calculate(Optional<Dimensions> dimensionsToBeScaled,
Optional<ImageSizeSuggestion> suggestedSize)
Calculates a scaling-factor for a source image/entity of particular dimensions.
|
Modifier and Type | Method and Description |
---|---|
static ImageSizeSuggestion |
ImageSizeSuggestionFactory.create(String suggestion)
Creates a suggestion for how to resize an image.
|
Modifier and Type | Method and Description |
---|---|
static ImageInitialization |
ImageInitializationFactory.create(InputOutputContext context,
Optional<ImageSizeSuggestion> suggestedSize)
Create from an
InputOutputContext - with a suggested size. |
Modifier and Type | Method and Description |
---|---|
ScaleFactor |
FitTo.calculate(Optional<Dimensions> dimensionsToBeScaled,
Optional<ImageSizeSuggestion> suggestedSize) |
ScaleFactor |
ToDimensions.calculate(Optional<Dimensions> dimensionsToBeScaled,
Optional<ImageSizeSuggestion> suggestedSize) |
ScaleFactor |
ConstantScaleFactor.calculate(Optional<Dimensions> dimensionsToBeScaled,
Optional<ImageSizeSuggestion> suggestedSize) |
ScaleFactor |
ToSuggested.calculate(Optional<Dimensions> dimensionsToBeScaled,
Optional<ImageSizeSuggestion> suggestedSize) |
ScaleFactor |
Invert.calculate(Optional<Dimensions> dimensionsToBeScaled,
Optional<ImageSizeSuggestion> suggestedSize) |
ScaleFactor |
MinimumXYResolution.calculate(Optional<Dimensions> dimensionsToBeScaled,
Optional<ImageSizeSuggestion> suggestedSize) |
Modifier and Type | Method and Description |
---|---|
protected Stack |
ScaleImageCommonSize.scaleStack(Stack stack,
Optional<ImageSizeSuggestion> suggestedSize,
VoxelsResizer voxelsResizer,
CommonSize sharedState) |
protected Stack |
ScaleImageIndependently.scaleStack(Stack stack,
Optional<ImageSizeSuggestion> suggestedSize,
VoxelsResizer voxelsResizer,
NoSharedState sharedState) |
protected abstract Stack |
ScaleImage.scaleStack(Stack stack,
Optional<ImageSizeSuggestion> suggestedSize,
VoxelsResizer voxelsResizer,
S sharedState)
Produce a scaled version of a
Stack , mapping each channel to a scaled version of
itself. |
Copyright © 2010–2023 Owen Feehan, ETH Zurich, University of Zurich, Hoffmann-La Roche. All rights reserved.