Skip to main content

Separation of Touching and Overlapped Human Chromosome Images

  • Conference paper
  • First Online:
Advancements of Medical Electronics

Part of the book series: Lecture Notes in Bioengineering ((LNBE))

Abstract

Chromosomes are generally thread-like structures present in the nucleus of each living cells. There are twenty three pairs of chromosome in human beings. The additional in chromosome number or missing chromosome will cause chromosome abnormality i.e. chromosome anomaly in human beings. This is mainly occurring due to accident or error while sperm or egg progress in growing. The abnormality in chromosome will cause birth defects, genetic disorders and cancer to the human beings. The twenty three pairs of chromosome can be classified into twenty four different classes by using karyotyping process. In this paper, the main objective is to give idea about how to diagnose the genetic disorder. The genetic disorder can lead to cancer in human. It may happen due to touching or overlapped chromosomes in human beings. In order to overcome these genetic disorders and cancer in human, the touching and overlapped chromosomes were separated. This separation process will be easier to undergo karyotyping analysis and to be handled by a cytogeneticist.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Legrand B, Chang CS, Ong SH, Soek-Ying N, Nallasivam P (2008) Chromosome classification using dynamic time warping. Pattern Recogn Lett 29:215–222

    Google Scholar 

  2. Cai N, Hu K, Xiong H, Li S, Su W, Zhu F (2004) Image segmentation of G bands of Triticum monococcum chromosomes based on the model-based neural network. Pattern Recogn Lett 25:319–329

    Google Scholar 

  3. Piper J (1995) Genetic algorithm for applying constraints in chromosome classification. Pattern Recogn Lett 16:857–864

    Google Scholar 

  4. Loganathan E, Anuja MR, Nirmala M (2013) Analysis of human chromosome images for the identification of centromere position and length. IEEE Point Care Healthc Technol, pp 314–317

    Google Scholar 

  5. Madian N, Jayanthi KB (2002) Overlapped chromosome segmentation and separation of touching chromosome for automated chromosome classification. In: IEEE EMBS, pp 5392–5395

    Google Scholar 

  6. Madian N, Jayanthi KB (2014) Analysis of human chromosome classification using centromere position. Measurement 47:287–295

    Google Scholar 

  7. Roshtkhari MJ, Setarehdan SK (2008) A novel algorithm for straightening highly curved images of human chromosome. Pattern Recogn Lett 29:1208–1217

    Google Scholar 

  8. Sampat MP, Bovik AC, Aggarwal JK, Castleman KR (2005) Supervised parametric and non-parametric classification of chromosome images. Pattern Recognit 38:1209–1223

    Google Scholar 

  9. Gao H, Wenbo X, Sun J, Tang Y (2010) Multilevel thresholding for image segmentation through an improved quantum-behaved particle swarm algorithm. IEEE Trans Instrum Meas 59:934–946

    Article  Google Scholar 

  10. Somasundaram D, Vijay Kumar VR (2014) Separation of overlapped chromosomes and pairing of similar chromosomes for karyotyping analysis. Measurement 48:274–281

    Article  Google Scholar 

  11. Somasundaram D, Vijay Kumar VR (2014) Straightening of highly curved human chromosome for cytogenetic analysis. Measurement 47:880–892

    Google Scholar 

  12. Somasundaram D, Palaniswami S, Vijayabhasker R, Venkatesakumar V (2014) G-Band chromosome segmentation, overlapped chromosome separation and visible band calculation. Int J Hum Genet 14:73–81

    Google Scholar 

  13. Wacharapong S, Krisanadej J, Mullica J (2006) Segmentation of overlapping chromosome images using computational geometry. Walailak J Sci Tech 3:181–194

    Google Scholar 

  14. Munot MV, Joshi MA, Mandhawkar P (2012) Semi automated segmentation of chromosomes in metaphase cells. IET Conference on Image Processing, pp 1–6

    Google Scholar 

  15. Grisan E, Poletti E, Ruggeri A (2009) Automatic segmentation and disentangling of chromosomes in Q-Band prometaphase images. IEEE Trans Inf Technol Biomed 13:575–581

    Article  Google Scholar 

Download references

Acknowledgments

The authors wish to thank Ms. Nirmala Madian working as an Assistant Professor and Phd research scholar in K.S.R College of Technology and Dr. Suresh, Director, Birth Registry of India for providing the G-band chromosome images for the work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Vidhya .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer India

About this paper

Cite this paper

Balaji, V.S., Vidhya, S. (2015). Separation of Touching and Overlapped Human Chromosome Images. In: Gupta, S., Bag, S., Ganguly, K., Sarkar, I., Biswas, P. (eds) Advancements of Medical Electronics. Lecture Notes in Bioengineering. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2256-9_6

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-2256-9_6

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2255-2

  • Online ISBN: 978-81-322-2256-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics