Vector-valued image segmentation using region based active contour

Author

Shahvaran, Zahra ; Kazemi, Kamran ; Helfroush, Mohammad Sadegh ; Golshaeyan, Narjes

Author_Institution

Shiraz Univ. of Technol., Shiraz, Iran

fYear

2013

fDate

14-16 May 2013

Firstpage

1

Lastpage

4

Abstract

In this paper we present our framework for object segmentation in vector-valued images with intensity non-uniformity and noise using region based level set method. The proposed framework extend the local Gaussian distribution fitting in which the local intensity is modeled by Gaussian distribution. Our experiments on synthetic images and simulated cerebral MR images show the advantages of the proposed method in comparison with applying scalar model.

Keywords

Gaussian distribution; biomedical MRI; image segmentation; medical image processing; cerebral magnetic resonance images; intensity nonuniformity; local Gaussian distribution fitting; object segmentation; region based active contour; region based level set method; simulated cerebral MR images; synthetic images; vector-valued image segmentation; Active contours; Biological system modeling; Fitting; Gaussian distribution; Image segmentation; Level set; Noise; Intensity non-uniformity; Level Set; MR image; Segmentation; Vector-Valued image;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering (ICEE), 2013 21st Iranian Conference on

Conference_Location

Mashhad

Type

conf

DOI

10.1109/IranianCEE.2013.6599702

Filename

6599702