Class SoGradientOperatorProcessing2d
- 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.gradient.SoGradientOperatorProcessing2d
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- All Implemented Interfaces:
SafeDisposable
public class SoGradientOperatorProcessing2d extends SoImageVizEngine
SoGradientOperatorProcessing2d
engine provides different algorithms to extract the edges of a 2D image. For an introduction, see:- section Images Filters
- section Edge Detection
- Introduction to Gradient
The
SoGradientOperatorProcessing2d
engine provides different algorithms to extract the edges of an image.Note: You may normalize the filtered image, i.e. divide the output gray levels by the sum of absolute values of the kernel coefficients. If not, be aware that overflow may occur.
- Canny-Deriche: It performs a recursive gradient computation to get the gradient in X and Y directions. It is an FIR (finite impulse response) filter. To minimize the effect of noise, it smooths the image before computing the gradient. A smoothing scale parameter determines the smoothing intensity. If the value is large, noise will be reduced but edges will be less sharp and only the most significant edges will survive. It is important to select the right coefficient to lower the noise just enough without defocusing the edges. Then it gets the maximum of these images with a gradient magnitude operation. For color images it calculates the maximum of intensity or the euclidian mean.
- Shen-Castan: It calculates the gradient of Shen and Castan. It is a recursive and exponential filter that smooths an object and then extracts its edges. It is based on the Shen operator :
The highest is, the more edges we get. For color images it calculates the maximum of intensity or the euclidian mean.
- Canny: It performs an approximation to get the Canny-Deriche in X and Y directions using a convolution kernel 7x5 for X and 5x7 for Y. Result is nearly the same than Canny Deriche but process is much faster.
- Gaussian: It performs a convolution with the derivatives of a Gaussian function along each image axis.
- Sobel: It performs a convolution with the Sobel Kernel.
- Prewitt: It performs a convolution with the Prewitt Kernel.
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
SoGradientOperatorProcessing2d.GradientModes
static class
SoGradientOperatorProcessing2d.GradientOperators
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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 SoSFEnum<SoGradientOperatorProcessing2d.GradientModes>
gradientMode
Select an output mode.SoSFEnum<SoGradientOperatorProcessing2d.GradientOperators>
gradientOperator
Select the gradient operator.SoSFImageDataAdapter
inImage
The input image.SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter>
outAmplitudeImage
The output gradient amplitude image.SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter>
outGradientXImage
The output X-gradient image.SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter>
outGradientYImage
The output Y-gradient image.SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter>
outOrientationImage
The output gradient orientation image.SoSFFloat
standardDeviation
The standard deviation.-
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 SoGradientOperatorProcessing2d()
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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inImage
public final SoSFImageDataAdapter inImage
The input image. Default value is NULL. Supported types include: grayscale binary label color image.
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gradientOperator
public final SoSFEnum<SoGradientOperatorProcessing2d.GradientOperators> gradientOperator
Select the gradient operator. . Default is CANNY_DERICHE
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gradientMode
public final SoSFEnum<SoGradientOperatorProcessing2d.GradientModes> gradientMode
Select an output mode. . Default is AMPLITUDE_MAX_OF_MAGS
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standardDeviation
public final SoSFFloat standardDeviation
The standard deviation. Default value is 60.0f.
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outGradientXImage
public final SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter> outGradientXImage
The output X-gradient image. Default value is NULL. Supported types include: grayscale binary label color image.
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outGradientYImage
public final SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter> outGradientYImage
The output Y-gradient image. Default value is NULL. Supported types include: grayscale binary label color image.
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outAmplitudeImage
public final SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter> outAmplitudeImage
The output gradient amplitude image. Default value is NULL. Supported types include: grayscale binary label color image.
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outOrientationImage
public final SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter> outOrientationImage
The output gradient orientation image. Default value is NULL. Supported types include: grayscale binary label color image.
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