Comparison of segmentation algorithms by a mathematical model for resolving islands and gulfs in nuclei of cervical cell images
Joint Authors
Niraimathi, Muhyi al-Din Fatimah Ilyas
Seenivasagam V.
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 5 (30 Sep. 2015)8 p.
Publisher
Publication Date
2015-09-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Cell segmentation from microscopic images is the first stage of the automatic biomedical image processing, which plays a crucial role in the study of cell behaviour which is a very difficult and tedious task because of the variation that exist in illumination and dye concentration of the cells due to the staining procedure.This paper proposes a new method for segmentation of cervical cell nuclei based on a simple mathematical model to eliminate and resolve islands and gulfs which appear in the segmented output of conventional thresholding and region growing methods of segmentation.
These components are eliminated and resolved and added to their related cell regions by our proposed mathematical model which first detects the borders of those structures and if it lies within the associated region they are placed within that region.
The performance was evaluated and compared with the above mentioned methods.
A simple mathematical vision system model to segment and analyze cytological image nuclei is proposed.
American Psychological Association (APA)
Niraimathi, Muhyi al-Din Fatimah Ilyas& Seenivasagam V.. 2015. Comparison of segmentation algorithms by a mathematical model for resolving islands and gulfs in nuclei of cervical cell images. The International Arab Journal of Information Technology،Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430845
Modern Language Association (MLA)
Niraimathi, Muhyi al-Din Fatimah Ilyas& Seenivasagam V.. Comparison of segmentation algorithms by a mathematical model for resolving islands and gulfs in nuclei of cervical cell images. The International Arab Journal of Information Technology Vol. 12, no. 5 (Sep. 2015).
https://search.emarefa.net/detail/BIM-430845
American Medical Association (AMA)
Niraimathi, Muhyi al-Din Fatimah Ilyas& Seenivasagam V.. Comparison of segmentation algorithms by a mathematical model for resolving islands and gulfs in nuclei of cervical cell images. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430845
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-430845