Segmentation of Overlapping Cervical Cells in Normal Pap Smear Images Using Distance-Metric and Morphological Operation

Abstract: The automatic interpretation of Pap Smear image is one of challenging issues in some aspects. Accurate segmentation for each cell is an important procedure that must be done so that no information is lost during the evaluation process. However, the presence of overlapping cells in Pap Smear image make the automated analysis of these cytology images become more difficult. In most of the studies, cytoplasm segmentation is the difficult stage because the boundaries between cells are very thin. In this study, we propose an algorithm that can segment the overlapping cytoplasm. First, the morphology operation and global thresholding to segment cytoplasm is done. Second, the overlapping area on cytoplasm region is separated using morphological operation and distance criteria on each pixel. The proposed method has been evaluated against the results of manual tracing by experts. The experiment results show that the proposed method can segment the overlapping cytoplasm as similar as experts do, i.e., 2:897 3:632 (mean std) using Hausdorff distance.

Keywords: Cervical Cancer, Overlapping Cells, Dis-tance Metrics, Morphological Operation

Author: Rahadian Kurniawan, Izzati Muhimmah, Arrie Kurniawardhani, Indrayanti Indrayanti

Journal Code: jptinformatikagg170007

Artikel Terkait :

Jp Teknik Informatika gg 2017

• Study of User Acceptance and Satisfaction of a Mandatory Government-Regulated Information System
• The Performance of Boolean Retrieval and Vector Space Model in Textual Information Retrieval
• Does Color Matter on Web User Interface Design?
• Rasch Model for Validation a User Acceptance Instrument for Evaluating E-learning System
• Face Recognition Performance in Facing Pose Variation
• Optimization of Healthy Diet Menu Variation using PSO-SA
• Design of Speaker Verification using Dynamic Time Warping (DTW) on Graphical Programming for Authentication Process
• Maturity Evaluation of Information Technology Governance in PT DEF Using Cobit 5 Framework
• Implementation of Genetic Algorithm to Solve Travelling Salesman Problem with Time Window (TSP-TW) for Scheduling Tourist Destinations in Malang City
• Framework Design for Modular Web-based Application Using Model-CollectionService-Controller-Presenter (MCCP) Pattern