  Karyotyping is a process in which chromosomes in a dividing cell are properly
stained, identified and displayed in a standard format, which helps geneticist
to study and diagnose genetic factors behind various genetic diseases and for
studying cancer. M-FISH (Multiplex Fluorescent In-Situ Hybridization) provides
color karyotyping. In this paper, an automated method for M-FISH chromosome
segmentation based on watershed transform followed by naive Bayes
classification of each region using the features, mean and standard deviation,
is presented. Also, a post processing step is added to re-classify the small
chromosome segments to the neighboring larger segment for reducing the chances
of misclassification. The approach provided improved accuracy when compared to
the pixel-by-pixel approach. The approach was tested on 40 images from the
dataset and achieved an accuracy of 84.21 %.
