Fuzzy logic methods for image motion detection and analysis

Author

Wang, B. ; Daly, C. ; Ryan, M. ; Scott, M.

Author_Institution

Sch. of Comput. Applications, Dublin City Univ., Ireland

fYear

1993

fDate

17-20 Oct 1993

Firstpage

48

Abstract

Fuzzy logic methods have been found to be very effective in image processing. The authors (1992) previously used fuzzy logic methods to recognize the objects in two consecutive images and to compute the displacement of the corresponding object. The method used there can not compute the rotation of the object. In this paper, the concept of principal fuzzy index of area coverage (PFIOAC) is proposed and developed. PFIOAC is scale-invariant and rotation-invariant and can be used to recognize objects in two consecutive images and to compute the displacement and rotation of the object. Experimental results show that the method is effective and that it is even better to use the PFIOAC and fuzzy index of compactness approaches together

Keywords

fuzzy logic; image processing; motion estimation; object recognition; fuzzy index of compactness; fuzzy logic; image motion analysis; image motion detection; image processing; object recognition; principal fuzzy index of area coverage; rotation-invariant type; scale-invariant type; Abstracts; Computer applications; Digital images; Fuzzy logic; Image analysis; Image edge detection; Image enhancement; Image motion analysis; Motion detection; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on

Conference_Location

Le Touquet

Print_ISBN

0-7803-0911-1

Type

conf

DOI

10.1109/ICSMC.1993.384849

Filename

384849