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
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;
Conference_Titel :
Computational Intelligence and Cybernetics (CyberneticsCom), 2012 IEEE International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4673-0891-5
DOI :
10.1109/CyberneticsCom.2012.6381639