Title :
Statistical analysis of morphological openings
Author :
Morales, Aldo ; Acharya, Raj
Author_Institution :
Coll. of Eng., Pennsylvania State Univ., DuBois, PA, USA
fDate :
10/1/1993 12:00:00 AM
Abstract :
Statistical analysis of morphological openings is carried out to study noise-suppression and edge-preserving properties of binary and gray-scale structuring elements. Based on the fact that basis functions are a general representation of any morphological mapping that is translation-invariant and increasing, it is shown that a statistical analysis using this representation is feasible and more general than the threshold decomposition approach
Keywords :
filtering and prediction theory; mathematical morphology; signal processing; statistical analysis; basis functions; binary structuring elements; edge-preserving properties; filtering; function processing filters; function-set processing filters; gray-scale structuring elements; morphological mapping; morphological openings; noise suppression properties; signal processing; statistical analysis; translation-invariant; Filtering; Filters; Geometry; Image analysis; Mathematics; Morphological operations; Morphology; Signal analysis; Signal processing; Statistical analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
