The use of first-order structuring-element libraries to design morphological filters Conference Paper

abstract

• 1992 IEEE. Statistically optimized morphological filters are preferable to those traditionally selected by humans. Nevertheless, full optimization has been shown to be computationally intractable. By applying first-order knowledge to select a predetermined structuring-element library upon which to apply optimization, we can greatly reduce design computation, while at the same time producing good filters. The present paper sets down a paradigm for library optimization and also presents a methodology for first-order-library construction. Experimental results depicted herein illustrate the goodness of the estimations.

name of conference

• Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,

authors

• Dougherty, Edward

published proceedings

• Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,

author list (cited authors)

• Loce, R. P., & Dougherty, E. R.

citation count

• 1

complete list of authors

• Loce, RP||Dougherty, ER

publication date

• January 1992

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• International Conference on Pattern Recognition  Journal

Digital Object Identifier (DOI)

• 10.1109/icpr.1992.201974

International Standard Book Number (ISBN) 10

• 0818629207

start page

• 256

end page

• 259

volume

• 3

URL

• http://dx.doi.org/10.1109/icpr.1992.201974