Computer aided system for red blood cell classification in blood smear image

Razali Tomari, Wan Nurshazwani Wan Zakaria, Muhammad Mahadi Abdul Jamil, Faridah Mohd. Nor, Nik Farhan Nik Fuad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Citations (Scopus)

Abstract

In vitro identification and counting of red blood cells (RBCs) is very important to diagnose blood related diseases such as malaria and anemia before a proper treatment can be proposed. The conventional practice for such procedure is executed manually by pathologist under light microscope. However, manual visual inspection is laborious task and depends on subjective assessment which leads to variation in the RBC identification and counting. In this paper a computer-aided systems is proposed to automate the process of detection and identification of RBC from blood smear image. Initially RBCs region are extracted from the background by using global threshold method applied on green channel color image. Next, noise and holes in the RBCs are abolished by utilizing morphological filter and connected component labeling. Following that, information from the RBCs' are extracted based on its geometrical properties. Eventually, the RBCs were classified as normal/abnormal by using Artificial Neural Network (ANN) classifier. The proposed method has been tested on blood cell images and demonstrates a reliable and effective system for classifying normal and abnormal RBC.

Original languageEnglish
Title of host publicationProcedia Computer Science
PublisherElsevier
Pages206-213
Number of pages8
Volume42
EditionC
DOIs
Publication statusPublished - 2014
EventInternational Symposium on Medical and Rehabilitation Robotics and Instrumentation, MRRI 2013 - Shah Alam, Malaysia
Duration: 2 Dec 20134 Dec 2013

Other

OtherInternational Symposium on Medical and Rehabilitation Robotics and Instrumentation, MRRI 2013
CountryMalaysia
CityShah Alam
Period2/12/134/12/13

Fingerprint

Blood
Cells
Labeling
Microscopes
Classifiers
Inspection
Color
Neural networks

Keywords

  • Geometrical properties
  • Image processing
  • Neural network
  • Red blood cell classification

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Tomari, R., Zakaria, W. N. W., Jamil, M. M. A., Mohd. Nor, F., & Fuad, N. F. N. (2014). Computer aided system for red blood cell classification in blood smear image. In Procedia Computer Science (C ed., Vol. 42, pp. 206-213). Elsevier. https://doi.org/10.1016/j.procs.2014.11.053

Computer aided system for red blood cell classification in blood smear image. / Tomari, Razali; Zakaria, Wan Nurshazwani Wan; Jamil, Muhammad Mahadi Abdul; Mohd. Nor, Faridah; Fuad, Nik Farhan Nik.

Procedia Computer Science. Vol. 42 C. ed. Elsevier, 2014. p. 206-213.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tomari, R, Zakaria, WNW, Jamil, MMA, Mohd. Nor, F & Fuad, NFN 2014, Computer aided system for red blood cell classification in blood smear image. in Procedia Computer Science. C edn, vol. 42, Elsevier, pp. 206-213, International Symposium on Medical and Rehabilitation Robotics and Instrumentation, MRRI 2013, Shah Alam, Malaysia, 2/12/13. https://doi.org/10.1016/j.procs.2014.11.053
Tomari R, Zakaria WNW, Jamil MMA, Mohd. Nor F, Fuad NFN. Computer aided system for red blood cell classification in blood smear image. In Procedia Computer Science. C ed. Vol. 42. Elsevier. 2014. p. 206-213 https://doi.org/10.1016/j.procs.2014.11.053
Tomari, Razali ; Zakaria, Wan Nurshazwani Wan ; Jamil, Muhammad Mahadi Abdul ; Mohd. Nor, Faridah ; Fuad, Nik Farhan Nik. / Computer aided system for red blood cell classification in blood smear image. Procedia Computer Science. Vol. 42 C. ed. Elsevier, 2014. pp. 206-213
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