Automatic karyotype using linear regression and skeleton-based measurement algorithm

Karyotype is a display of chromosomes of a single cell where chromosomes are arranged and numbered by size from largest to smallest. A Karyotype is an essential process that helps the scientists identify chromosomal alterations that may result in a genetic disorder. This paper presents an automatic karyotype using linear regression and skeleton which make a karyotype more effective and less cumbersome. An image of chromosomes in metaphase are captured through a microscope and entered into the system for automatic identification, segmentation, orientation, and classification. Region growing with 8-connected neighbor technique is used in segmentation in order to separate connected chromosomes apart whereas linear regression and skeleton are used in measurement and classification of chromosomes.