Endocardial edge detection by fuzzy inference system

Author

Manivannan, J. ; Reddy, M.R. ; Thanikachalam, S. ; Varghese, Rajiv

Author_Institution

Biomed. Eng. Div., Indian Inst. of Technol., Madras, India

Volume

1

fYear

2003

fDate

15-17 Oct. 2003

Firstpage

3

Abstract

In this paper we propose a new method for edge detection in ultrasound images by using a fuzzy inference system (FIS). The input image is preprocessed and the difference in intensities of each pixel to its neighborhood is given as input to the FIS. Depending on the magnitude of differences, sufficient inference rules were defined in the system to get the edges even in the low contrast region. This method is successfully applied to the echocardiogram images to detect the left ventricle (LV) endocardial borders and some experiments are given.

Keywords

echocardiography; edge detection; fuzzy set theory; inference mechanisms; ultrasonic imaging; echocardiogram images; endocardial borders; endocardial edge detection; fuzzy inference system; input image preprocessing; left ventricle detection; low contrast region; ultrasound images; Data preprocessing; Filtering; Fuzzy sets; Fuzzy systems; Histograms; Image edge detection; Optical filters; Performance analysis; Pixel; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region

Print_ISBN

0-7803-8162-9

Type

conf

DOI

10.1109/TENCON.2003.1273201

Filename

1273201