Application of Computer Vision Algorithms in the Description of Mitotic Chromosome Metaphase Spread

Authors

  • Uche Osahor
  • Joseph Igbokwe
  • Tosin Fayemi Department of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile Ife

Keywords:

Karyotype, chromosome, computer vision, morphology, filtration, thresholding

Abstract

Mitotic chromosomes offer a unique opportunity to observe the nuclear genome by microscope, allowing analysis of its components individually. The karyotype is the visual description of the complete set of chromosomes of a typical somatic cell of a eukaryotic organism. These unique visual features that describe the karyotype are not easily distinguished in photographed microscopic images, most especially in laboratories located in the third world countries that cannot afford to acquire high-end equipment. This shortcoming alters the accuracy in describing the morphological classification of chromosomes. Computer vision provides a set of rules that processes the images by implementing a set of algorithms tailored to extract vital information from the images. The steps include image preprocessing, filtration, thresholding, and further morphological procedures. The resulting output image provides a more enhanced image that contains key information required for efficient analysis.

 

Keywords: Karyotype, chromosome, computer vision, morphology, filtration, thresholding

 

Cite this Article:Osahor Uche, Igbokwe Joseph, Fayemi Tosin. Application of computer vision algorithms in the description of mitotic chromosome metaphase spread. Research & Reviews: A Journal of Embedded System & Applications (RRJoESA). 2015; 3(1)

Published

2015-03-14

Issue

Vol. 3 No. 1 (2015)

Section

Articles

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