Morphological image processing
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A collection of techniques for digital image processing based on mathematical morphology. Since these techniques rely only on the relative ordering of pixel values, not on their numerical values, they are especially suited to the processing of binary images and grayscale images whose light transfer function is not known.
Some morphological operations are:
- Erosion
- Dilation
- Opening
- Closing
- Shrinking
- Thinning
- Thickening
- Skeletonization
- Pruning
- Distance transform
By combining these operators one can obtain algorithms for many image processing tasks, such as feature detection, image segmentation, image sharpening, image filtering, granulometry and distance transforms.
External link
- Java applet demonstration (http://www.cs.bris.ac.uk/~majid/mengine/morph.html)