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Design and simulate different digital image enhancement techniques for biomedical applications using VIVADO system generator

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Abstract

In the proposed work, different techniques of the image processing in spatial domain in the field of biomedical applications has been presented. The proposed techniques are image inverting, image brightness addition, image brightness subtraction, threshold operation and contrast stretching technique. Here, the main purpose is to achieve better appearance and visuality with higher execution speed when implemented on real time hardware. The proposed system is developed and simulated using Xilinx System Generator with fewest possible blocks. Simulation results under FPGA Zynq 7000 series ZedBoard have been presented to validate the proposed techniques.

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References

  1. Alareqi M, Elgouri R, Tarhda M, Mateur K, Zemmouri A, Mezouari A, Hlou L (2017) Design and FPGA implementation of Real-Time Hardware Co-Simulation for image enhancement in biomedical applications. In: Proc. IEEE international conference on wireless technologies, embedded and intelligent system. 2017 from 19–20 April 2017, Fez Morocco

  2. Singh M, Pandove G (2018) An implementation of image enhancement on real time configurable system using HDL: a review. Int J Adv Res Electron Commun Eng 7(3):202–208

    Google Scholar 

  3. Deepika K, Jabeen M, Sridivya K (2015) Implementation of image processing algorithms using xilinx system generator. J Innov Electron Commun Eng 5(1):24–29

    Google Scholar 

  4. Moctezuma C, Sanchez S, Alvarez R, Sánchez A (2008) Architecture for filtering images using xilinx system generator. In: International conference on computer engineering and applications world scientific and engineering academy and society (WSEAS), pp 284–289

  5. Ladgham A, Sakly A, Mtibaa A (2012) Real time implementation of detection of bacteria in microscopic images using system generator. J Biosens Bioelectron 3(5):1–7

    Article  Google Scholar 

  6. Nelakuditi U, Babu M, Bhagirath T (2015) Efficient real-time hardware co-simulation for image enhancement applications. In: Electronics and communication systems (ICECS), 2015 2nd International conference on. IEEE, pp 1580–1583

  7. Prasanna R, Neelamegam P, Sriram S, Raju N (2012) Enhancement of vein patterns in hand image for biometric and biomedical application using various image enhancement techniques. Procedia Eng 38:1174–1185

    Article  Google Scholar 

  8. Hasan S, Yakovlev A, Boussakta S (2010) Performance efficient FPGA implementation of parallel 2-D MRI image filtering algorithms using xilinx system generator. In: Communication systems networks and digital signal processing (CSNDSP), 2010 7th international symposium on IEEE, pp 765–769

  9. Gurunathan V, Bharathi S, Sudhakar R (2015) Image enhancement techniques for palm vein images. In: Advanced computing and communication systems, 2015 international conference on IEEE, pp 1–5, 2015

  10. Moses C, Selvathi D, Rani S (2010) FPGA implementation of an efficient partial volume interpolation for medical image registration. In: Communication control and computing technologies (ICCCCT), IEEE International Conference, pp 132–137

  11. Yang J, Ma Y, Yao W, Lu W (2008) A spatial domain and frequency domain integrated approach to fusion multifocus images. International Archives of the Photogrammetry, Remote Sens Spat Inf Sci, p 37

    Google Scholar 

  12. Mohapatra S, Swain B, Mahapatra SK (2015) Optimized approach of sobel edge detection technique using Xilinx system generator. In: Electronics and communication systems (ICECS), 2nd International Conference. IEEE, pp 338–341

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Authors and Affiliations

  1. Department of Electronics and Communication, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonipat, India

    Mahavir Singh & Gitanjali Pandove

Authors
  1. Mahavir Singh
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  2. Gitanjali Pandove
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Correspondence to Mahavir Singh.

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Singh, M., Pandove, G. Design and simulate different digital image enhancement techniques for biomedical applications using VIVADO system generator. Int. j. inf. tecnol. 12, 397–401 (2020). https://doi.org/10.1007/s41870-019-00295-w

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  • DOI: https://doi.org/10.1007/s41870-019-00295-w

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