Earticle

초록

영어

In this paper, three different segmentation techniques are used, namely, region growing segmentation technique, watershed segmentation and texture segmentation, 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.

목차

Abstract
 1. Introduction
  1.2. Problem Statement
 2. Materials and Methods
  2.1 Images
  2.2. Elementary Steps Taken For the Segmentation of the Images of Living Cells.
  2.3 Results of the Three Different Segmentation Techniques
 3. Conclusion
 References

키워드

저자

• Bazila [ Electronics and Communication Engineer, Department National Institute of Technology, Srinagar (J&K), India 190006 ]
• Dr. A.H. Mir [ Electronics and Communication Engineer, Department National Institute of Technology, Srinagar (J&K), India 190006 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605