DocumentCode
147216
Title
Segmentation of living cells: A comparative study
Author
Hashia, Bazila ; Mir, Ajaz Hussain
Author_Institution
ECE Dept., Nat. Inst. of Technol., Srinagar, India
fYear
2014
fDate
3-5 April 2014
Firstpage
1524
Lastpage
1528
Abstract
In this paper, three different segmentation techniques, namely, region growing segmentation technique, watershed segmentation and texture segmentation are used to accurately extract the shapes of membranes and nuclei from the inverted microscopic images, taken throughout the monolayer formation of BGM -70 (Baby Grevit Monkey) cell culture. This strategy is a prerequisite for an accurate quantitative analysis of cell shape and morphodynamics during organogenesis and is the basis for an integrated understanding of biological processes. The segmentation of cellular structures is achieved by first normalizing the microscopic images by performing CLAHE operation followed by de-noising by morphological opening and filling of the holes and then applying segmentation algorithm for cell shape reconstruction.
Keywords
cellular biophysics; image denoising; image reconstruction; image segmentation; image texture; medical image processing; BGM-70 cell culture; Baby Grevit Monkey cell culture; CLAHE operation; cell morphodynamics; cell shape reconstruction; cellular structures; image denoising; organogenesis; region growing segmentation technique; texture segmentation; watershed segmentation; Image reconstruction; Image restoration; Image segmentation; Microscopy; Motion segmentation; Pediatrics; Shape; BGM-70 cells; Image de-noising; Image normalization; Region growing; Texture segmentation; Watershed segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location
Melmaruvathur
Print_ISBN
978-1-4799-3357-0
Type
conf
DOI
10.1109/ICCSP.2014.6950104
Filename
6950104
Link To Document