Class SoTensorVotingProcessing2d
- java.lang.Object
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- com.openinventor.inventor.Inventor
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- com.openinventor.inventor.misc.SoBase
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- com.openinventor.inventor.fields.SoFieldContainer
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- com.openinventor.inventor.engines.SoEngine
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- com.openinventor.imageviz.engines.SoImageVizEngine
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- com.openinventor.imageviz.engines.edgedetection.edgemarking.SoTensorVotingProcessing2d
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- All Implemented Interfaces:
SafeDisposable
public class SoTensorVotingProcessing2d extends SoImageVizEngine
SoTensorVotingProcessing2d
engine. TheSoTensorVotingProcessing2d
engine strengthens an image local features according to their consistency with a model of smooth curves.The computation will use a feature score image and an orientation vector image.
The voting field used assumes that the best connection between two points with one orientation imposes a circular arc that decays with the radius according to a Gaussian function. The voting field size is defined by the parameter "scale".
This voting field can be illustrated on the unit sphere: The method is referenced by Franken and van Almsick publication
E.Franken, M.van Almsick, P.Rongen, L.Florack, B.ter Haar Romeny,
"An efficient method for tensor voting using steerable filters."
Computer Vision - ECCV 2006. Springer, pp. 228-240, 2006.Different outputs can be computed by this filter and are selected with the "outputSelection" parameter. Only the outputs necessary to the application can be selected in order to minimize memory and computation time usage.
This filter can provide an output spectral image where each channel represents a tensor component set in the following order , , .
The saliency, ballness and orientation vector images can be extracted from this tensor image following:
- Orientation:
- Saliency:
- Ballness:
The saliency can be interpreted as a measure for the orientation certainty or a measure of anisotropy of the ellipse in orientation given in outVectorImage.
The ballness can be interpreted as a measure for the orientation uncertainty or a measure of isotropy.
The orientation vector image defines the main orientation of the output tensor.
File format/default:
TensorVotingProcessing2d {
inFeatureImage NULL inVectorImage NULL scale 5.0 outputSelection SALIENCY
Library references: TensorVoting2d
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
SoTensorVotingProcessing2d.OutputSelections
This enum defines each computable outputs.-
Nested classes/interfaces inherited from class com.openinventor.imageviz.engines.SoImageVizEngine
SoImageVizEngine.ComputeModes, SoImageVizEngine.EventArg, SoImageVizEngine.Neighborhood3ds
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Nested classes/interfaces inherited from class com.openinventor.inventor.Inventor
Inventor.ConstructorCommand
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Field Summary
Fields Modifier and Type Field Description SoSFImageDataAdapter
inFeatureImage
Input feature image.SoSFImageDataAdapter
inVectorImage
Input orientation vector image.SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter>
outBallnessImage
Output ballness image.SoSFBitMask<SoTensorVotingProcessing2d.OutputSelections>
outputSelection
Enable the computation of selected outputs.SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter>
outSaliencyImage
Output saliency image.SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter>
outTensorImage
Output tensor image.SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter>
outVectorImage
Output orientation vector image.SoSFDouble
scale
This parameter acts on the gap length filled by the tensor voting algorithm.-
Fields inherited from class com.openinventor.imageviz.engines.SoImageVizEngine
onBegin, onEnd, onProgress
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Fields inherited from class com.openinventor.inventor.Inventor
VERBOSE_LEVEL, ZeroHandle
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Constructor Summary
Constructors Constructor Description SoTensorVotingProcessing2d()
Constructor.
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Method Summary
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Methods inherited from class com.openinventor.imageviz.engines.SoImageVizEngine
abortEvaluate, isEvaluating, startEvaluate, waitEvaluate
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Methods inherited from class com.openinventor.inventor.engines.SoEngine
copy, getByName, getOutput, getOutputName
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Methods inherited from class com.openinventor.inventor.fields.SoFieldContainer
copyFieldValues, copyFieldValues, enableNotify, fieldsAreEqual, get, getAllFields, getEventIn, getEventOut, getField, getFieldName, hasDefaultValues, isNotifyEnabled, set, setToDefaults
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Methods inherited from class com.openinventor.inventor.misc.SoBase
dispose, getName, isDisposable, isSynchronizable, setName, setSynchronizable, touch
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Methods inherited from class com.openinventor.inventor.Inventor
getNativeResourceHandle
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Field Detail
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inFeatureImage
public final SoSFImageDataAdapter inFeatureImage
Input feature image. Image must have only one spectral canal. Default value is NULL. Supported types include: grayscale image.
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inVectorImage
public final SoSFImageDataAdapter inVectorImage
Input orientation vector image. Image must have the same size as the input and 2 spectral canals. Each vector is used to define an orientation and its norm is ignored. Default value is NULL. Supported types include: color image.
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scale
public final SoSFDouble scale
This parameter acts on the gap length filled by the tensor voting algorithm. It is expressed in pixels. Default value is 5.0.
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outputSelection
public final SoSFBitMask<SoTensorVotingProcessing2d.OutputSelections> outputSelection
Enable the computation of selected outputs. . Default is SALIENCY
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outTensorImage
public final SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter> outTensorImage
Output tensor image. The size (except spectral serie), calibration and interpretation of the output image are forced to the same values as the feature input. Type is forced to float. Default value is NULL. Supported types include: color image.
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outVectorImage
public final SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter> outVectorImage
Output orientation vector image. The size (except spectral serie), calibration and interpretation of the output image are forced to the same values as the feature input. The size of the spectral serie component is forced to 2. Each vector defines the main orientation of the output tensor and its norm is equal to the saliency. Type is forced to float. Default value is NULL. Supported types include: color image.
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outSaliencyImage
public final SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter> outSaliencyImage
Output saliency image. The size, calibration and interpretation of the output image are forced to the same values as the feature input. Type is forced to float. Default value is NULL. Supported types include: grayscale image.
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outBallnessImage
public final SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter> outBallnessImage
Output ballness image. The size, calibration and interpretation of the output image are forced to the same values as the feature input. Type is forced to float. Default value is NULL. Supported types include: grayscale image.
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