Abstract
The automated segmentation of cells in microscopic images is an open research problem that has important implications for studies of the developmental and cancer processes based on in vitro models. In this paper, we present the approach for segmentation of the DIC images of cultured cells using G-neighbor smoothing followed by Kauwahara filtering and local standard deviation approach for boundary detection. NIH FIJI/ImageJ tools are used to create the ground truth dataset. The results of this work indicate that detection of cell boundaries using segmentation approach even in the case of realistic measurement conditions is a challenging problem.
Original language | English |
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Title of host publication | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2382-2387 |
Number of pages | 6 |
Volume | 2017-January |
ISBN (Electronic) | 9781509063673 |
DOIs | |
Publication status | Published - Nov 30 2017 |
Event | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India Duration: Sep 13 2017 → Sep 16 2017 |
Conference
Conference | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 |
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Country | India |
City | Manipal, Mangalore |
Period | 9/13/17 → 9/16/17 |
Keywords
- Cancer
- G-neighbor
- Image processing
- Live cell imaging
- Microscopy
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems