Comparison of Segmentation Algorithms by a Mathematical Model for Resolving Islands and Gulfs in Nuclei of Cervical Cell Images
Journal: The International Arab Journal of Information Technology (Vol.12, No. 5)Publication Date: 2015-09-01
Authors : Mohideenfatima Niraimathi; Seenivasagam Vellaichamy;
Page : 424-430
Keywords : Cervical cancer screening; pap smear images; islands; gulfs; mathematical model.;
Abstract
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.
Other Latest Articles
- A Qualitative Approach to the Identification, Visualisation and Interpretation of Repetitive Motion Patterns in Groups of Moving Point Objects
- Distinguishing Attack on Common Scrambling Algorithm
- Speed up of Reindexing in Adaptive Particle Swarm Optimization
- An Artificial Neural Network Approach for Sentence Boundary Disambiguation in Urdu Language Text
- An Accelerometer-Based Approach to Evaluate 3D Unistroke Gestures
Last modified: 2019-11-17 16:09:26