Medical image segmentation based on contourlet transform and watershed algorithm

Author

Liu, Hongying ; Liu, Yi ; Li, Qian ; Liu, Hongyan ; Tong, Yongan

Author_Institution

Comput. Sci. & Technol., Shandong Univ., Jinan, China

Volume

2

fYear

2011

fDate

9-11 Dec. 2011

Firstpage

224

Lastpage

227

Abstract

In medical image processing domain, Image segmentation assumes a great degree of importance in the field of Image Processing. This paper proposes a novel method for medical image segmentation based on contourlet transform and watershed algorithm. A particular medical image (brain CT) is used as input and after contourlet transform, we can remove the noise content by employing suitable filter and watershed algorithm, and finally carrying out edge detection for image segmentation. The experimental result shows that the proposed algorithm is very effective. The proposed algorithm has been simulated on MATLAB platform.

Keywords

computerised tomography; edge detection; image segmentation; medical image processing; transforms; contourlet transform; edge detection; filter algorithm; medical image processing; medical image segmentation; watershed algorithm; Computed tomography; Educational institutions; Filter banks; Image segmentation; Medical diagnostic imaging; Transforms; Contourlet Transform; Image Segmentation; Watershed Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

IT in Medicine and Education (ITME), 2011 International Symposium on

Conference_Location

Cuangzhou

Print_ISBN

978-1-61284-701-6

Type

conf

DOI

10.1109/ITiME.2011.6132027

Filename

6132027