Occlusion Detection in M-FISH Human Chromosome Images
Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (Vol.13, No. 4)Publication Date: 2014-05-01
Authors : Lijiya A; Joshy Joseph; V.K. Govindan;
Page : 4398-4404
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
Other Latest Articles
- Performance Evaluation of COCOMO Vs UCP
- A FRAMEWORK FOR SUPPORT ON GENERATION OF MASSIVE OPEN ONLINE COURSE ? ADAPTATIVE MOOC USING TECHNIQUES OF CONTEXT ADAPTATION
- Multilingual Text to Speech in embedded systems using RC8660
- Study and Comparison of four Agent-Based Simulation Tools: Repast, SeSAm, Netlogo and GAMA
- Evaluating the Performance of Modified Watershed Algorithm Based on DBMF and DT.
Last modified: 2016-06-29 17:48:03