Comparison of SUSAN and Sobel Edge Detection in MRI Images for Feature Extraction

Author

Rezai-rad, Gholamali ; Aghababaie, Majid

Author_Institution

Dept. of Electr. Eng., Iran Univ. of Sci. & Tech.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

1103

Lastpage

1107

Abstract

A new comparison of SUSAN and Sobel edge detection for MRI images feature extraction is proposed in this paper. Preprocessing algorithms are important in MRI feature extraction since they provide the necessary data in the best task. One of these algorithms is edge detection. We introduce two common edge detection algorithms which are SUSAN and Sobel, and then we compare them and explain their properties according to MRI feature extraction application. By means of experimental results we have made a useful guide for researchers to choose Sobel or SUSAN edge detection in their special MRI feature extraction problem

Keywords

biomedical MRI; edge detection; feature extraction; medical image processing; MRI images; SUSAN edge detection; Sobel edge detection; feature extraction; smallest univalue segment assimilating nucleus method; Algorithm design and analysis; Brightness; Computer vision; Data analysis; Data mining; Feature extraction; Image edge detection; Image resolution; Magnetic resonance imaging; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies, 2006. ICTTA '06. 2nd

Conference_Location

Damascus

Print_ISBN

0-7803-9521-2

Type

conf

DOI

10.1109/ICTTA.2006.1684528

Filename

1684528