Title :
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
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;
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
DOI :
10.1109/ICBBE.2009.5162320
