Fuzzy edge evaluation in ultrasound endosonographic images

Author

Solaiman, B. ; Roux, C. ; Rangayyan, R.M. ; Pipelier, F. ; Hillion, A.

Author_Institution

LATIM, Telecom Bretagne, Brest, France

Volume

1

fYear

1996

fDate

26-29 May 1996

Firstpage

335

Abstract

The application of fuzzy logic theory to edge detection is studied. The main measure used in characterizing edge membership functions (EMF) is an edge sharpness measure called acutance. After giving the definition of fuzzy images as well as the general approaches used in determining the EMF, the definition of fuzzy edges as well as the acutance measure are described. Two EMFs are then studied using a synthetic ultrasound echoendoscopic medical image. It is clearly shown that the selection of an appropriate EMF is of crucial interest in fuzzy edge detection

Keywords

biomedical ultrasonics; edge detection; fuzzy logic; medical image processing; acutance; edge detection; edge membership functions; edge sharpness measure; fuzzy edge evaluation; fuzzy edges; fuzzy images; fuzzy logic theory; synthetic ultrasound echoendoscopic medical image; ultrasound endosonographic images; Application software; Biomedical imaging; Drives; Fuzzy logic; Image analysis; Image edge detection; Performance evaluation; Pixel; Ultrasonic imaging; Ultrasonic variables measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1996. Canadian Conference on

Conference_Location

Calgary, Alta.

ISSN

0840-7789

Print_ISBN

0-7803-3143-5

Type

conf

DOI

10.1109/CCECE.1996.548105

Filename

548105