A New Approach for Extracting the Contour of an ROI in Medical Images

Author

Wei, Liu ; Sheng, Liang Yong ; Ren Xian Yi ; Peng, Duan

Author_Institution

ShenZhen Inst. of Inf. Technol., Shenzhen

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

1025

Lastpage

1029

Abstract

A novel approach is presented to extract the contour of an ROI (region of interest) in medical images. It combines threshold segmentation method and SEL (sequential edge linking) algorithm. The salient area is located according to the human visual characteristics, and then the threshold is obtained and used to binarilize the whole image. The binary image is processed by the SEL algorithm to extract the contour of an ROI. Experiments show that the proposed method offers excellent ability to suppress noise and false edges. It can extract the precise and continuous contour of an ROI in medical images.

Keywords

feature extraction; image segmentation; medical image processing; ROI; binary image; contour extraction; human visual characteristics; medical images; region of interest; sequential edge linking algorithm; threshold segmentation method; Application software; Biomedical computing; Biomedical imaging; Data mining; Deformable models; Gaussian processes; Humans; Joining processes; Low pass filters; Visual system; ROI; SEL; contour; human visual system; threshold segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on

Conference_Location

Phuket

Print_ISBN

978-0-7695-3489-3

Type

conf

DOI

10.1109/ICACTE.2008.11

Filename

4737113