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Overlapping Cervical Nuclei Separation using Watershed Transformation and Elliptical Approach in Pap Smear Images
- Source :
- Journal of ICT Research and Applications, Vol 11, Iss 3 (2017)
- Publication Year :
- 2017
- Publisher :
- ITB Journal Publisher, 2017.
-
Abstract
- In this study, a robust method is proposed for accurately separating overlapping cell nuclei in cervical microscopic images. This method is based on watershed transformation and an elliptical approach. Since the watershed transformation process of taking the initial seed is done manually, the method was developed to obtain the initial seed automatically. Total initial seeds at this stage represents the number of nuclei that exist in the image of a pap smear, either overlapping or not. Furthermore, a method was developed based on an elliptical approach to obtain the area of each of the nuclei automatically. This method can successfully separate several (more than two) clustered cell nuclei. In addition, the proposed method was evaluated by experts and was proven to have better results than methods from previous studies in terms of accuracy and execution time. The proposed method can determine overlapping and non-overlapping boundaries of nuclei fast and accurately. The proposed method provides better decision-making on areas with overlapping nuclei and can help to improve the accuracy of image analysis and avoid information loss during the process of image segmentation.
- Subjects :
- Information Systems and Management
Watershed
Initial Seed
General Computer Science
Computer science
0206 medical engineering
02 engineering and technology
Information loss
TK5101-6720
Information technology
watershed-based segmentation
Execution time
gynecological cytology
Image (mathematics)
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
business.industry
Process (computing)
overlapping nuclei
food and beverages
Pattern recognition
Image segmentation
T58.5-58.64
020601 biomedical engineering
microscopic image analysis
Transformation (function)
elliptical approach
Pap smear
Telecommunication
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- Language :
- English
- ISSN :
- 23385499 and 23375787
- Volume :
- 11
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Journal of ICT Research and Applications
- Accession number :
- edsair.doi.dedup.....69bb667e4d05f6aca15f2dba83f3cc75