DocumentCode
2529111
Title
Automated cervical cell nuclei segmentation using morphological operation and watershed transformation
Author
Muhimmah, Izzati ; Kurniawan, Rahmad ; Indrayanti, I.
Author_Institution
Dept. of Inf., Univ. Islam Indonesia, Yogyakarta, Indonesia
fYear
2012
fDate
12-14 July 2012
Firstpage
163
Lastpage
167
Abstract
Nuclei segmentation of the epithelial cells of a Pap smear image is an important step in order to have correct morphometric measures. This task is non trivial due to the complexities of the Pap smear images. Our paper presents a novel method on nuclei segmentation using morphological operation and watershed transformation. The proposed segmentation method was evaluated with respect to its nuclei area and its shape-similarity in comparison to the pathologist truth. It showed that the segmentation results are promising and it can be used for further analysis such as cell quantification or abnormality cell detection.
Keywords
cellular biophysics; image segmentation; medical image processing; Pap smear image; automated cervical cell nuclei segmentation; epithelial cells; morphological operation; morphometric measures; shape similarity; watershed transformation; Gray-scale; Image color analysis; Image edge detection; Image segmentation; Nuclear measurements; Shape; Transforms; Pap smear; morphometric; nuclei area; nuclei shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Cybernetics (CyberneticsCom), 2012 IEEE International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4673-0891-5
Type
conf
DOI
10.1109/CyberneticsCom.2012.6381639
Filename
6381639
Link To Document