Automated aperture filter design by stochastic optimization

Author

Chlapinski, Jakub ; Ciota, Aygmunt

Author_Institution

Dept. of Microelectron. & Comput. Sci., Tech. Univ. of Lodz, Lodz, Poland

fYear

2009

fDate

25-27 June 2009

Firstpage

607

Lastpage

612

Abstract

Aperture filters are a relatively new class of image operators, where in addition to the domain constraint, imposed by windowing, the range constraint is defined, effectively condensing probability mass to improve filter output estimates. In this paper the automatic design methodology by means of stochastic optimisation is proposed, which can generate an aperture filter to suit a specific application. Usability of presented method was verified experimentally, and the results are presented in the paper.

Keywords

digital filters; genetic algorithms; image processing; mathematical morphology; stochastic processes; automated aperture filter design; digital image filters; genetic algorithm; image operators; image processing; mathematical morphology; probability mass; stochastic optimization; Apertures; Biomedical signal processing; Computer science; Design optimization; Filter bank; Filtering; Image processing; Microelectronics; Signal processing; Stochastic processes; aperture filters; image processing; mathematical morphology;

fLanguage

English

Publisher

ieee

Conference_Titel

Mixed Design of Integrated Circuits & Systems, 2009. MIXDES '09. MIXDES-16th International Conference

Conference_Location

Lodz

Print_ISBN

978-1-4244-4798-5

Electronic_ISBN

978-83-928756-1-1

Type

conf

Filename

5289618