| Package | Description |
|---|---|
| at.mug.iqm.api.processing | |
| at.mug.iqm.core.processing | |
| at.mug.iqm.core.processing.loader | |
| at.mug.iqm.img.bundle.jai.stuff |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractProcessingTask |
| Modifier and Type | Class and Description |
|---|---|
class |
CreateCopiesTask
This task creates
n copies of the currently displayed item. |
class |
ExecutorServiceProcessingTask
This task processes items and operators with a given operator in a parallel
manner using
ExecutorService. |
class |
PreviewProcessingTask
This class performs a distinct preview, triggered by the currently active
IOperatorGUI. |
class |
SerialProcessingTask
This class performs a stack processing task on
1...n items
sequentially. |
class |
SingleProcessingTask
This class performs a processing task on a single image.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ImageDataBoxLoader
This class is responsible for adding images from the HD to the
Tank
list. |
class |
SynchronousTankItemLoader
This loader is responsible for synchronously assembling items a given
List of IqmDataBoxes to the DefaultListModel in the
TankPanel . |
class |
TankItemLoader
This loader is responsible for asynchronously assembling items a given
List of IqmDataBoxes to the DefaultListModel in the
TankPanel . |
| Modifier and Type | Class and Description |
|---|---|
class |
FuzzyCMeansImageClustering
This class implements a basic Fuzzy C-Means clustering algorithm as an image
processing task.
|
class |
FuzzyLICMeansImageClustering
This class implements a basic Fuzzy C-Means clustering algorithm as an image
processing task.
|
class |
ImageProcessingTask
This abstract class represents a image processing task that is executed
on its own thread.
|
class |
KMeansImageClustering
This class implements a basic K-Means clustering algorithm as an image
processing task.
|
class |
TemplateMatchingWithIterators
This class demonstrates an implementation of a basic Template Matching
algorithm, using RandomIter(ators) to access the data.
|
class |
TemplateMatchingWithRasters
This class demonstrates an implementation of a basic Template Matching
algorithm, using Raster(s) to access the data.
|
Copyright © 2009–2017 Helmut Ahammer, Philipp Kainz. All rights reserved.