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Efficient Approach to Detect Hypochromic and Normochromic Anemia through Image Processing

by Md Ainul Haque, Mohammad Badrul Alam Miah, Tabassum Sultana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 159 - Number 2
Year of Publication: 2017
Authors: Md Ainul Haque, Mohammad Badrul Alam Miah, Tabassum Sultana
10.5120/ijca2017912814

Md Ainul Haque, Mohammad Badrul Alam Miah, Tabassum Sultana . Efficient Approach to Detect Hypochromic and Normochromic Anemia through Image Processing. International Journal of Computer Applications. 159, 2 ( Feb 2017), 1-5. DOI=10.5120/ijca2017912814

@article{ 10.5120/ijca2017912814,
author = { Md Ainul Haque, Mohammad Badrul Alam Miah, Tabassum Sultana },
title = { Efficient Approach to Detect Hypochromic and Normochromic Anemia through Image Processing },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 159 },
number = { 2 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume159/number2/26970-2017912814/ },
doi = { 10.5120/ijca2017912814 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:04:37.280090+05:30
%A Md Ainul Haque
%A Mohammad Badrul Alam Miah
%A Tabassum Sultana
%T Efficient Approach to Detect Hypochromic and Normochromic Anemia through Image Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 159
%N 2
%P 1-5
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Hypochromic and Normochromic anemia have taken prodigious possession in the research field. In this paper, we have proposed a process that will feasibly detect the Hypochromic and Normochromic anemia. The task that goes elementarily in image processing is the reduction of the noise from image. Therefor, Harr Wavelet (level-2) has been applied as a tool to contrive the process of noise reduction from image. Extraction of significant information from the image is the vital job. For this purpose, segmentation is used. Here, Watershed transform has been applied. Significance has been provided in the calculation of the number of true pixels of blood cells and filled (whereas the blood cells filled with truth value (1) using imfill()) blood cells. Hereafter, their ratio will have been employed for the detection of the Hypochromic and Normochromic anemia. The outcome of the proposed process exhibits the accuracy of 96.7% whither manually processed result is lower.

References
  1. ”What do normal red blood cells look like?”, Pathologystudent. com, 2016, ¡http://www.pathologystudent.com/?p=483¿ (accessed 26 October 2016).
  2. J. Bohlius et al., ”Cancer-related anemia and recombinant human erythropoietinan updated overview,” Nature Clinical Practice Oncology 3(3), 152-164 (2006). [doi:10.1038/ncponc0451].
  3. Y. Balarajan et al., ”Anaemia in low-income and middleincome countries,” The Lancet 378(9809), 2123-2135 (2011). [doi:10.1016/s0140-6736(10)62304-5].
  4. S. Sabina et al., ”An Overview of Anemia in Pregnancy,” Journal of Innovations in Pharmaceuticals and Biological Sciences, Vol 2(2), 144-151, (2015).
  5. A. Ghosh et al., ”Microcytic Hypochromic Anemia in Pediatric Age Group: A Hospital Based Study in Nepal,” American Journal of Public Health Research, vol. 3, no. 4A, 57-61(2015)[doi: 10.12691/ajphr-3-4A-12].
  6. T. Johnson-Wimbley and D. Graham, ”Diagnosis and management of iron deficiency anemia in the 21st century,” Therapeutic Advances in Gastroenterology, 4(3), 177- 184 (2011). [doi:10.1177/1756283x11398736].
  7. S.Chandrasiri, P.Samarasinghe, ”Automatic anemia identification through morphological image processing,”In 7th International Conference on Information and Automation for Sustainability,( pp. 1-5). IEEE (2014).
  8. J. Ali et al., ”Red Blood Cell Recognition using Geometrical Features,” International Journal of Computer Science Issues, Vol. 10, Issue 1, No 1,(2013).
  9. S. Khan et al., ”An Accurate and Cost Effective Approach to Blood Cell Count,” International Journal of Computer Applications, 50(1), 18-24 (2012). [doi:10.5120/7734-0682].
  10. M. Taherisadr et al., ”A New approch to red blood cell classification using morphological image processing,” Shiraz EMedical Journal, 14(1), 44-53 (2013).
  11. S. Chourasiya, G.U. Rani, ”Automatic red blood cell counting using watershed segmentation,” International Journal of Computer Science and Information Technologies, Vol. 5(4) , 2014, 4834-4838 (2014).
  12. S. Abbas, ”Microscopic images dataset for automation of RBCs counting”, Data in Brief, 5, 35-40 (2015). [doi:10.1016/j.dib.2015.08.006].
  13. K. S. Sidhu, B. S. Khaira, I. S. Virk, ”Medical image denoising in the wavelet domain using haar and DB3 filtering,” International Refereed Journal of Engineering and Science, 1(1), 001-008 (2012).
  14. J.M. Sharif et al., ”Red blood cell segmentation using masking and watershed algorithm: A preliminary study,” Biomedical Engineering (ICoBE), (2012) International Conference on. IEEE, 2012.
  15. K. Gopinath et al., ”Novel method for clearing red blood cell debris from BacT/ALERT blood culture medium for improved microscopic and antimycobacterial drug susceptibility test results”, Journal of Clinical Laboratory Analysis, 21(4), 220-226 (2007). [doi:10.1002/jcla.20169].
Index Terms

Computer Science
Information Sciences

Keywords

Hypochromic Normochromic Harr Wavelet Watershed Transform Hemoglobin

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