public class MeanFilter extends AreaFilterOperation
GrayIntegerImage
and
RGBIntegerImage
will work.
PixelImage image = ...; // some GrayIntegerImage or RGBIntegerImage MeanFilter filter = new MeanFilter(); filter.setArea(5, 5); filter.setInputImage(image); filter.process(); PixelImage filteredImage = filter.getOutputImage();
Constructor | Description |
---|---|
MeanFilter() |
Modifier and Type | Method | Description |
---|---|---|
int |
computeSample(int[] samples,
int numSamples) |
Determine the resulting sample for an array with the source sample
and zero or more of its neighbors.
|
checkAreaHeight, checkAreaWidth, getAreaHeight, getAreaWidth, process, setArea, setAreaHeight, setAreaWidth
canInputAndOutputBeEqual, ensureImagesHaveSameResolution, ensureInputImageIsAvailable, ensureOutputImageResolution, getInputImage, getOutputImage, setCanInputAndOutputBeEqual, setInputImage, setOutputImage
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
addProgressListener, addProgressListeners, getAbort, removeProgressListener, setAbort, setProgress, setProgress
public int computeSample(int[] samples, int numSamples)
AreaFilterOperation
numSamples
samples, which will be stored
starting at offset 0
.
Normally, numSamples
is equal to AreaFilterOperation.getAreaWidth()
times AreaFilterOperation.getAreaHeight()
.
Near the border of the image you may get less samples.
Example: the top left sample of an image has only three neighbors (east, south-east and south),
so you will only get four samples (three neighbors and the sample itself).
computeSample
in class AreaFilterOperation
samples
- the array holding the sample(s)numSamples
- number of samples in the array