Title :
Optimization of grey-scale morphological statistical estimators
Author :
Dougherty, Edward
Author_Institution :
Center for Imaging Sci., Rochester Inst. of Technol., NY, USA
Abstract :
General gray-scale morphological filters are interpreted as statistical estimators by employing the Matheron representation for increasing translation-invariant signal-to-signal mappings. Mean-square optimization is discussed, including the minimal search problem and the manner in which classical moving statistical filters fit into the more general morphological paradigm. Key to the method is the automatic generation of structuring elements based upon image statistics.<>
Keywords :
digital filters; optimisation; picture processing; Matheron representation; automatic generation; digital filters; digital signal processing; gray-scale morphological filters; grey-scale morphological statistical estimators; image statistics; mean square optimisation; minimal search problem; moving statistical filters; structuring elements; translation-invariant signal-to-signal mappings; Filtering theory; Filters; Gray-scale; Morphology; Noise shaping; Random variables; Search problems; Signal mapping; Signal processing; Statistics;
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
DOI :
10.1109/SPECT.1990.205570
