International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 70 - Number 25 |
Year of Publication: 2013 |
Authors: Lijiya A, Sreejithlal G S, Govindan V K |
10.5120/12227-8519 |
Lijiya A, Sreejithlal G S, Govindan V K . M-FISH Image Segmentation and Classification using Fuzzy Logic. International Journal of Computer Applications. 70, 25 ( May 2013), 46-51. DOI=10.5120/12227-8519
Karyotyping has an important role in identifying genetic disorders due to structural changes in chromosomes. Multiplex fluorescence in-situ hybridization (M-FISH) technique provides more precise karyotyping. The new classification method, proposed in this paper, automates karyotyping, based on Fuzzy c-means (FCM) algorithm combined with a labeling chart. Classification results show that the proposed method improves accuracy and running time. It is also observed that the accuracy of classification can further be improved, using a new Reclassification algorithm which reduces the chance of wrongly classified chromosome pixels.