Comprehensive applying watershed algorithm in segmentation of CT brain images

Author

Zhu Bing-li ; Xiong Jiang ; Tan Xiao-ling

Author_Institution

Exp. Center, Chongqing Three Gorges Univ., Chongqing, China

Volume

1

fYear

2011

fDate

20-22 Aug. 2011

Firstpage

81

Lastpage

83

Abstract

According to the multi-threshold values of CT brain images, applying watershed segmentation algorithm by comprehensive methods which take full advantage of de-noising, gradient reconstruction, watershed segmentation, binary result and so on. Getting the binary skull image that is good at de-noising, detail accepting and over segmentation controlling. Meanwhile the program designed in MATLAB can process batches of CT brain images effectively, moreover, it can gain prophase data that is useful in anaphase image processing.

Keywords

brain; computerised tomography; image denoising; image reconstruction; image segmentation; medical image processing; CT brain image segmentation; anaphase image processing; binary skull image; gradient reconstruction; image denoising; multithreshold value; watershed segmentation; Algorithm design and analysis; Biomedical imaging; Brain; Computed tomography; Image reconstruction; Image segmentation; Noise reduction; CT brain image; MATLAB; alues; image segmentation; multi-threshold; watershed algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International

Conference_Location

Chongqing

Print_ISBN

978-1-4244-8622-9

Type

conf

DOI

10.1109/ITAIC.2011.6030155

Filename

6030155