White blood cells nucleus segmentation from microscopic images of strained peripheral blood film during leukemia and normal condition

Rakibull Ahasan; Ahasan Ulla Ratul; A. S.M. Bakibillah

doi:10.1109/ICIEV.2016.7760026

White blood cells nucleus segmentation from microscopic images of strained peripheral blood film during leukemia and normal condition

Rakibull Ahasan, Ahasan Ulla Ratul, A. S.M. Bakibillah

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

11 Citations (Scopus)

Abstract

Counting of White blood cells (WBC) & characterizing their nucleus can provide valuable information to the doctors in order to identify different diseases or stage of a particular disease. The manual method is a tiresome process and has a lot of inaccuracy. On the other hand, the machine (hematological analyzer) based method are very expensive. Digital image processing can be a less time consuming and cost effective method for counting and characterizing the WBC. In order to Count or characterize WBC by image processing, proper segmentation is the key challenge. In this paper we proposed an algorithm to segment WBC nucleus from microscopic images of stained peripheral blood film during leukemia and normal condition. The proposed algorithm involves different steps such as color space conversion, color thresholding, filtering, marker controlled watershed and different morphological operations. The accuracy of the result obtained is 88.57%.

Original language	English
Title of host publication	2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	361-366
Number of pages	6
ISBN (Electronic)	9781509012695
DOIs	https://doi.org/10.1109/ICIEV.2016.7760026
Publication status	Published - 2016
Externally published	Yes
Event	International Conference on Informatics, Electronics and Vision (ICIEV) 2016 - Dhaka, Bangladesh Duration: 13 May 2016 → 14 May 2016 Conference number: 5th https://ieeexplore.ieee.org/xpl/conhome/7746853/proceeding (Proceedings)

Conference

Conference	International Conference on Informatics, Electronics and Vision (ICIEV) 2016
Abbreviated title	ICIEV 2016
Country/Territory	Bangladesh
City	Dhaka
Period	13/05/16 → 14/05/16
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7746853/proceeding (Proceedings)

Keywords

color space
leukemi
morphological operatio
segmentation
White blood cells (WBC)

Access to Document

10.1109/ICIEV.2016.7760026

Cite this

Ahasan, R., Ratul, A. U., & Bakibillah, A. S. M. (2016). White blood cells nucleus segmentation from microscopic images of strained peripheral blood film during leukemia and normal condition. In 2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016 (pp. 361-366). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIEV.2016.7760026

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title = "White blood cells nucleus segmentation from microscopic images of strained peripheral blood film during leukemia and normal condition",

abstract = "Counting of White blood cells (WBC) & characterizing their nucleus can provide valuable information to the doctors in order to identify different diseases or stage of a particular disease. The manual method is a tiresome process and has a lot of inaccuracy. On the other hand, the machine (hematological analyzer) based method are very expensive. Digital image processing can be a less time consuming and cost effective method for counting and characterizing the WBC. In order to Count or characterize WBC by image processing, proper segmentation is the key challenge. In this paper we proposed an algorithm to segment WBC nucleus from microscopic images of stained peripheral blood film during leukemia and normal condition. The proposed algorithm involves different steps such as color space conversion, color thresholding, filtering, marker controlled watershed and different morphological operations. The accuracy of the result obtained is 88.57%.",

keywords = "color space, leukemi, morphological operatio, segmentation, White blood cells (WBC)",

author = "Rakibull Ahasan and Ratul, {Ahasan Ulla} and Bakibillah, {A. S.M.}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; International Conference on Informatics, Electronics and Vision (ICIEV) 2016, ICIEV 2016 ; Conference date: 13-05-2016 Through 14-05-2016",

year = "2016",

doi = "10.1109/ICIEV.2016.7760026",

language = "English",

pages = "361--366",

booktitle = "2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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Ahasan, R, Ratul, AU & Bakibillah, ASM 2016, White blood cells nucleus segmentation from microscopic images of strained peripheral blood film during leukemia and normal condition. in 2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016. IEEE, Institute of Electrical and Electronics Engineers, pp. 361-366, International Conference on Informatics, Electronics and Vision (ICIEV) 2016, Dhaka, Bangladesh, 13/05/16. https://doi.org/10.1109/ICIEV.2016.7760026

White blood cells nucleus segmentation from microscopic images of strained peripheral blood film during leukemia and normal condition. / Ahasan, Rakibull; Ratul, Ahasan Ulla; Bakibillah, A. S.M.

2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016. IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 361-366.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - White blood cells nucleus segmentation from microscopic images of strained peripheral blood film during leukemia and normal condition

AU - Ahasan, Rakibull

AU - Ratul, Ahasan Ulla

AU - Bakibillah, A. S.M.

N1 - Conference code: 5th

PY - 2016

Y1 - 2016

N2 - Counting of White blood cells (WBC) & characterizing their nucleus can provide valuable information to the doctors in order to identify different diseases or stage of a particular disease. The manual method is a tiresome process and has a lot of inaccuracy. On the other hand, the machine (hematological analyzer) based method are very expensive. Digital image processing can be a less time consuming and cost effective method for counting and characterizing the WBC. In order to Count or characterize WBC by image processing, proper segmentation is the key challenge. In this paper we proposed an algorithm to segment WBC nucleus from microscopic images of stained peripheral blood film during leukemia and normal condition. The proposed algorithm involves different steps such as color space conversion, color thresholding, filtering, marker controlled watershed and different morphological operations. The accuracy of the result obtained is 88.57%.

AB - Counting of White blood cells (WBC) & characterizing their nucleus can provide valuable information to the doctors in order to identify different diseases or stage of a particular disease. The manual method is a tiresome process and has a lot of inaccuracy. On the other hand, the machine (hematological analyzer) based method are very expensive. Digital image processing can be a less time consuming and cost effective method for counting and characterizing the WBC. In order to Count or characterize WBC by image processing, proper segmentation is the key challenge. In this paper we proposed an algorithm to segment WBC nucleus from microscopic images of stained peripheral blood film during leukemia and normal condition. The proposed algorithm involves different steps such as color space conversion, color thresholding, filtering, marker controlled watershed and different morphological operations. The accuracy of the result obtained is 88.57%.

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KW - morphological operatio

KW - segmentation

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M3 - Conference Paper

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BT - 2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016

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Ahasan R, Ratul AU, Bakibillah ASM. White blood cells nucleus segmentation from microscopic images of strained peripheral blood film during leukemia and normal condition. In 2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016. IEEE, Institute of Electrical and Electronics Engineers. 2016. p. 361-366 https://doi.org/10.1109/ICIEV.2016.7760026

White blood cells nucleus segmentation from microscopic images of strained peripheral blood film during leukemia and normal condition

Abstract

Conference

Keywords

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