Brain CT Image Segmentation Based on Improved Watershed Algorithm

Jiang Wenjuan; Xu Dong; Li Fuyun

doi:10.1109/CIS.2019.00077

2019 15th International Conference on Computational Intelligence and Security (CIS)

Brain CT Image Segmentation Based on Improved Watershed Algorithm

Year: 2019, Pages: 332-335

DOI Bookmark: 10.1109/CIS.2019.00077

Authors

Jiang Wenjuan, Hainan Normal University
Xu Dong, Hainan Normal University
Li Fuyun, Hainan Normal University

Abstract

For the traditional watershed algorithm has the problem of over-segmentation and under-segmentation, an improved watershed algorithm is used to segment brain CT images in this paper. By the segmentation, the segmentation results of the improved watershed algorithm show that noise and over-segmentation can be effectively suppressed, and the hemorrhagic areas on brain CT images can also be marked out.

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Brain CT Image Segmentation Based on Improved Watershed Algorithm

Authors

Abstract

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