Segmentation Technique for Nucleus Detection in Blood Images for Chronic Leukaemia

• Published in: Journal of Physics: Conference Series
• Main Author: Daud N.H.M.; Raof R.A.A.; Osman M.K.; Harun N.H.
• Format: Conference paper
• Language: English
• Published: IOP Publishing Ltd 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102405586&doi=10.1088%2f1742-6596%2f1755%2f1%2f012053&partnerID=40&md5=f31142568073eb834c7720ffc5768bbb

leukaemia is a disease which develops in the bone marrow, causing a large formation of abnormal cells and usually affected adults. The process of inspecting visually on the microscopic images is time consuming and a tiring process. The developed technique is aimed at assisting the haematologists upon identifying the presence of nucleus in blood cell images. Therefore, this technique is hoped to aid the haematologists in early and fast identification of leukaemia. This paper will be focusing on Acute Myeloid Leukaemia (AML). This research work proposed a combination of methods for the detection of Leukaemia using image processing techniques such as L∗A∗B colour-based thresholding algorithm, Sobel edge detection algorithm, and watershed distance transform to identify the nucleus blasts of leukaemia cells from blood cells image. The developed technique shows that it is able to produce the image of segmented nucleus blasts. © 2021 Published under licence by IOP Publishing Ltd.