A new morphological scale space operator

Considers the technique of scale space for a range of image processing and computer vision applications. In the past both linear and morphological approaches have been used to evaluate a scale space description and it has been shown that morphological techniques possess certain advantages including speed of computation. However the existing morphological approaches produce a non symmetrical output with respect to intrusions and protrusions of a signal. The paper describes a new morphological approach for scale space description which eliminates the above problem and which therefore treats both signal intrusions and protrusions equally. Also, a new property called the AVEC property, related to scale space behaviour is defined.<
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