Occlusion Detection in M-FISH Human Chromosome Images
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 13, Issue 4
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
Authors and Affiliations
Lijiya A, Joshy Joseph, V. K. Govindan
Keywords
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- EP ID EP650522
- DOI 10.24297/ijct.v13i4.2864
- Views 55
- Downloads 0
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