A commixed modified Gram-Schmidt and region growing mechanism for white blood cell image segmentation

Khaled A. Abuhasel, Chastine Fatichah, Abdullah M. Iliyasu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

A modified Gram-Schmidt orthogonalisation method has been commixed with a region growing method for efficient white blood cell image segmentation. The modified Gram-Schmidt method is used to segment the nucleus of white blood cells, while the region growing method is employed to segment the cytoplasm of white blood cells. To evaluate the performance of WBC image segmentation, the 100 samples of the microscopic WBC images is used. The segmentation results from the proposed mechanism are compared with manually segmented images, which are considered to be the correct segmentation result. Accuracy of the results reaches 95.21% and 92.31% for the Lymphocyte and Neutrophil cell types for the modified Gram-Schmidt and region growing methods, respectively. The results suggest that the proposed mechanism could be used for WBC classification in other applications such as cancer diagnosis.

Original languageEnglish
Title of host publicationWISP 2015 - IEEE International Symposium on Intelligent Signal Processing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479972524
DOIs
Publication statusPublished - 29 Jun 2015
Event9th IEEE International Symposium on Intelligent Signal Processing, WISP 2015 - Siena, Italy
Duration: 15 May 201517 May 2015

Publication series

NameWISP 2015 - IEEE International Symposium on Intelligent Signal Processing, Proceedings

Conference

Conference9th IEEE International Symposium on Intelligent Signal Processing, WISP 2015
Country/TerritoryItaly
CitySiena
Period15/05/1517/05/15

Keywords

  • Gram-Schmidt orthogonalisation
  • medical diagnosis
  • region growing
  • segmentation
  • white blood cell

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