Title :
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
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;
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
DOI :
10.1109/ITiME.2011.6132027
