Design of statistically optimal morphological operators Conference Paper

abstract

• 2000 EUSIPCO. This paper recalls a general framework for the design of optimal nonlinear digital filters: the statistically optimal morphological operators. Optimal filters are designed using the algebraic decomposition structure of Mathematical Morphology and observations of input-output pairs of signals or images.

authors

• Dougherty, Edward

published proceedings

• European Signal Processing Conference

author list (cited authors)

• Barrera, J., & Dougherty, E. R.

complete list of authors

• Barrera, J||Dougherty, ER

publication date

• March 2000

published in

• European Signal Processing Conference  Journal

volume

• 2015-March

issue

• March