Occlusion Detection in M-FISH Human Chromosome Images

  • Lijiya A National Institute of Technology, Calicut.
  • Joshy Joseph National Institute of Technology, Calicut.
  • V.K. Govindan National Institute of Technology, Calicut
Keywords: Occlusion Detection, M-FISH images, Chromosome Detection.

Abstract

Automation of Chromosome Analysis has long been considered a tedious task due to the partial occlusion of chromosomes. This calls for a non-trivial, dedicated procedure to segment chromosomes. In this paper, a new method is proposed which detects and separates occluded chromosomes, by separating out the chromosome cluster from the M-FISH image, followed by detecting the cut-points along which these clusters can be split into multiple regions. These regions are then combined into separate partial chromosomes based on difference matrix. After this stage the invisible regions due to occlusion is reconstructed based on the visibility in the five channels. The performance of the new proposal   was compared with the existing work and observed better performance in resolving occlusions. With 15 occluded  chromosome images tested, 90% accuracy was obtained

Author Biographies

Lijiya A, National Institute of Technology, Calicut.
Asst. Professor, Department of CSE
Joshy Joseph, National Institute of Technology, Calicut.
M.Tech Student, Department of CSE
V.K. Govindan, National Institute of Technology, Calicut
Professor, Department of CSE
Published
2014-04-30
How to Cite
A, L., Joseph, J., & Govindan, V. (2014). Occlusion Detection in M-FISH Human Chromosome Images. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 13(4), 4398-4404. https://doi.org/10.24297/ijct.v13i4.2864
Section
Articles