Brain image segmentation using a combination of expectation-maximization algorithm and watershed transform

Author:

Kwon Goo-Rak1,Basukala Dibash1,Lee Sang-Woong2,Lee Kun Ho3,Kang Moonsoo2

Affiliation:

1. Department of Information and Communication Engineering; Chosun University; Gwangju Republic of Korea

2. Department of Computer Engineering; Chosun University; Gwangju Republic of Korea

3. National Research Center for Dementia and Department of Biomedical Science; Chosun University; Gwangju Republic of Korea

Funder

Brain Research Program through the National Research Foundation of Korea funded by the Ministry of Science, ICT & Future Planning

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference37 articles.

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2. Segmenting brain white matter, gray matter and cerebro-spinal fluid using diffusion tensor-MRI derived indices;Cercignani;Magn Reson Imaging,2001

3. Maximum likelihood from incomplete data via the EM algorithm;Dempster;J R Stat Soc,1977

4. MRI segmentation of the human brain: Challenges, methods and applications;Despotovic;Comput Math Methods Med,2015

5. Automatic marker determination algorithm for watershed segmentation using clustering;Gonzalez;Latin Am Appl Res,2009

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