Multidimensional Discrete Signals Description Using Rotation and Scale Invariant Pattern Spectrum
Mathematical morphology was developed in the mid 1960’s by G.Matheron and J.Serra as a methodology for continuous and discrete multidimensional signal analysis. The basic idea underlaying this methodology is to trasform the original signal into a simpler and more expressive one, by interacting with a structuring element, called kernel, strategically chosen by the observer. A morphological operation is then constitucd by a transformation followed by some measurement on the transformed signal. The measurement on the transformed signal can be its lenght, area, volume, etc., depending on the dimension of the signal.
KeywordsShape Description Mathematical Morphology Morphological Operation Minimum Euclidean Distance Pattern Spectrum
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