Mohammad Hamghalam, Department of Electronic Engineering, Iran University of Science & Technology (IUST) Tehran, Iran
Ahmad Ayatollahi, Department of Electronic Engineering, Iran University of Science & Technology (IUST) Tehran, Iran
White blood cells are categorized into five groups in a peripheral blood microscopic image. They contain nucleus and cytoplasm. Precise boundary of nucleus and cytoplasm are necessary for extracting features of them. In fact texture, color, size and morphology of nucleus and cytoplasm make differences among different kinds of White blood cells. First position of nuclei in image has been found by thresholding and dilation. Then a sub image is cropped from image according to the position of nuclei and specified size of White blood cell in an image. Finally, Otsu method has been used for segmentation of precise boundary of nuclei in the sub image and Active contour has been employed to find precise boundaries of Cytoplasm in it.
Active contour, Flow Histogram analysis, White blood cell, Segmentation, Thresholding
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APA:
Hamghalam, M., & Ayatollahi, A (2020). White Blood Cell Segmentation in Giemsa-Stained Images of Blood Smears. International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 140, 1-10. doi: 10.33832/ijast.2020.140.01.
MLA:
Hamghalam, Mohammad, et al. “White Blood Cell Segmentation in Giemsa-Stained Images of Blood Smears.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 140, 2020, pp. 1-10. IJAST, http://article.nadiapub.com/IJAST/Vol140/1.html.
IEEE:
[1] M. Hamghalam, and A. Ayatollahi, "White Blood Cell Segmentation in Giemsa-Stained Images of Blood Smears." International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 140, pp. 1-10, July 2020.
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