@ALDAOperator(genericExecutionMode=ALL, level=APPLICATION) public class ImgErode extends MTBOperator
If the given image only contains two pixel values it is interpreted as binary image. In the resulting image the background pixels will be set to the smaller value, while the foreground pixels will be set to the larger ones.
The structuring element is a square matrix of size 'masksize' x 'masksize', with reference pixel in the center of the matrix. Attention: if masksize is even, errors result due to non-given symmetry
Modifier and Type | Field and Description |
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private MTBImage |
inImg |
private int |
masksize |
private MTBImage |
resultImg |
Constructor and Description |
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ImgErode()
Default constructor.
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ImgErode(MTBImage inimg,
int ms)
Constructor.
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Modifier and Type | Method and Description |
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private MTBImage |
applyMask(MTBImage mImg,
int msize)
Invokes erosion.
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private MTBImage |
applyMaskBinary(MTBImage mImg,
int msize,
int minVal,
int maxVal)
Applies an erosion mask to the given binary image.
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private MTBImage |
applyMaskGray(MTBImage mImg,
int msize)
Applies an erosion mask to the given intensity image.
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MTBImage |
getInputImage()
Returns the input image, null if not set.
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int |
getMasksize()
Returns the given mask size, 0 if not set.
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MTBImage |
getResultImage()
Returns the eroded image, null if not available.
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protected void |
operate()
This method does the actual work.
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private void |
setResultImage(MTBImage result)
Set result image.
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readResolve
addOperatorExecutionProgressEventListener, addParameter, addParameter, addParameterUnconditioned, fieldContained, fireOperatorExecutionProgressEvent, getALDPortHashAccessKey, getConstructionMode, getDocumentation, getHidingMode, getInactiveParameterNames, getInInoutNames, getInInoutNames, getInNames, getInOutNames, getMissingRequiredInputs, getName, getNumParameters, getOutInoutNames, getOutNames, getParameter, getParameterDescriptor, getParameterDescriptorUnconditioned, getParameterNames, getParameterUnconditioned, getSupplementalNames, getVerbose, getVersion, handleOperatorExecutionProgressEvent, hasInOutParameters, hasParameter, isAnnotatedParameter, isConfigured, print, print, print, printInterface, printInterface, readHistory, reinitializeParameterDescriptors, removeOperatorExecutionProgressEventListener, removeParameter, runOp, runOp, runOp, setConstructionMode, setConstructionMode, setConstructionMode, setHidingMode, setName, setParameter, setParameterUnconditioned, setVerbose, toStringVerbose, unconfiguredItems, validate, validateCustom, validateGeneric, writeHistory, writeHistory, writeHistory
@Parameter(label="Masksize", required=true, dataIOOrder=1, direction=IN, description="Masksize") private int masksize
@Parameter(label="Input Image", required=true, dataIOOrder=0, direction=IN, description="Input image") private transient MTBImage inImg
@Parameter(label="Result Image", required=true, direction=OUT, description="Result image") private transient MTBImage resultImg
public ImgErode() throws de.unihalle.informatik.Alida.exceptions.ALDOperatorException
de.unihalle.informatik.Alida.exceptions.ALDOperatorException
public ImgErode(MTBImage inimg, int ms) throws de.unihalle.informatik.Alida.exceptions.ALDOperatorException
inimg
- Input image.ms
- Size of square mask.de.unihalle.informatik.Alida.exceptions.ALDOperatorException
public MTBImage getInputImage()
public int getMasksize()
public MTBImage getResultImage()
private void setResultImage(MTBImage result)
protected void operate()
operate
in class de.unihalle.informatik.Alida.operator.ALDOperator
private MTBImage applyMask(MTBImage mImg, int msize)
The method first checks if image is binary or not. Subsequently the corresponding erosion function is called.
mImg
- Input image.msize
- Size of square mask.private MTBImage applyMaskBinary(MTBImage mImg, int msize, int minVal, int maxVal)
ip
- Input image for erosion.msize
- Size of squared erosion mask.minVal
- Minimal intensity in image.maxVal
- Maximal intensity in image.Copyright © 2010–2020 Martin Luther University Halle-Wittenberg, Institute of Computer Science, Pattern Recognition and Bioinformatics. All rights reserved.