Title :
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
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;
Conference_Titel :
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-3143-5
DOI :
10.1109/CCECE.1996.548105
