A novel approach for segmentation and counting of overlapped leukocytes in microscopic blood images

• Autorzy: Sudha K. , Geetha P.

Identyfikatory

DOI

10.1016/j.bbe.2020.02.005

• Języki publikacji: EN

Abstrakty

EN

Leukocytes count in the blood smear images plays an important role in identifying the overall health of the patient. The major steps involved in leukocytes counting system are segmentation and counting. However, the counting accuracy is greatly affected due to the morphological diversity of cells, the presence of staining artifacts and the overlapped cells. Therefore, this paper introduces a new framework to segment and counting of leukocytes. To segment leukocytes, an edge strength-based Grabcut method has been proposed. Later, the leukocyte region including the overlapped cells was counted using the novel gradient circular hough transform (GCHT) method. The research work was performed on ALL-IDB and Cellavision datasets. The proposed segmentation method has yielded high precision, recall and f -measure compared to the state-of-the-art methods. Additionally, comparison analy-sis was performed between the region count obtained using the existing and the GCHT method. The overall experimental results of the work showed that the proposed framework produced more accuracy in counting the leukocytes.

Słowa kluczowe

EN

leukocytes; microscopic blood image; edge strength; Grabcut technique; gradient circular hough transform

PL

leukocyty; rozmaz krwi obwodowej; transformata Hougha

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2020
• Tom: Vol. 40, no. 2
• Strony: 639--648
• Opis fizyczny: Bibliogr. 33 poz., rys., tab., wykr.

Twórcy

autor

Sudha K.

• Department of Computer Science and Engineering, College of Engineering, Anna University, Guindy, Chennai, India

autor

Geetha P.

• Department of Computer Science and Engineering, College of Engineering, Anna University, Guindy, Chennai, India

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).