An Experiment of Medical Image Segmentation Based on Ncut

Author

Chen, Yanzhi ; Huang, Yongfeng

Author_Institution

Sch. of Comput. Sci. & Technol., DongHua Univ., Shanghai, China

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

4

Abstract

This paper presents experiments of an approach based on Ncut to recognize object in brain MR images which are relevant with each other. The approach can consider the features in the 3D space through reconstruction weight matrix while using normalized cut. The eigenvectors of the weight matrix show segmentation of the images, and the object is recognized. In contrast with the original, the improved method decrease the running time. The method proposed in this paper can segment a series brain MRI images in one time, and the result of the experiment is satisfactory.

Keywords

biomedical MRI; brain; eigenvalues and eigenfunctions; feature extraction; image recognition; image reconstruction; image segmentation; matrix algebra; medical image processing; 3D space feature; brain MRI image; eigenvector; image reconstruction; medical image segmentation; normalized cut method; object recognition; weight matrix; Biomedical imaging; Brain; Breast; Equations; Graph theory; Image recognition; Image segmentation; Medical diagnostic imaging; Pixel; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2901-1

Electronic_ISBN

978-1-4244-2902-8

Type

conf

DOI

10.1109/ICBBE.2009.5162320

Filename

5162320