Image segmentation of the acetowhite region in cervix images based on chromaticity

Author

Xiong, Jun ; Wang, Lei ; Gu, Jia

Author_Institution

Inst. of Biomed. & Health Eng., Chinese Acad. of Sci., Shenzhen, China

fYear

2009

fDate

4-7 Nov. 2009

Firstpage

1

Lastpage

4

Abstract

The authors proposed a novel approach for the acetowhite region segmentation in order to improve the segmentation accuracy. The proposed algorithm took two steps to finish the segmentation work, the first step: applied the watershed algorithm to finish the coarse segmentation and locate the acetowhite region, the second step: adjusted the acetowhite region boundary to plot precise acetowhite region. 163 uterine neck images were selected from a database to verify the segmenting algorithm. To some extend, 97% of the segmentation results were identical with the segmentation results that were marked by radiologist.

Keywords

biological organs; diagnostic radiography; gynaecology; image colour analysis; image segmentation; medical image processing; acetowhite region; cervical cancer; chromaticity; coarse segmentation; image segmentation; radiography; uterine neck; watershed algorithm; Cervical cancer; Clustering algorithms; Diseases; Image databases; Image segmentation; Neck; Neoplasms; Spatial databases; Support vector machines; Testing; Cervix Image; Chromaticity; Image Segmentation; Watershed;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Applications in Biomedicine, 2009. ITAB 2009. 9th International Conference on

Conference_Location

Larnaca

Print_ISBN

978-1-4244-5379-5

Electronic_ISBN

978-1-4244-5379-5

Type

conf

DOI

10.1109/ITAB.2009.5394329

Filename

5394329