public class MedianFilter extends AreaFilterOperation
Can be used as despeckle filter, but the image will lose sharpness. The larger the area becomes, the less noise and the less sharpness will remain, and the longer it will take.
Uses Median
to do the search for the median value.
PixelImage image = ...; // some GrayIntegerImage or RGBIntegerImage MedianFilter filter = new MedianFilter(); filter.setArea(5, 5); filter.setInputImage(image); filter.process(); PixelImage filteredImage = filter.getOutputImage();
Constructor | Description |
---|---|
MedianFilter() |
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 final 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