Segmentation of White Blood Cells From Microscopic Images Using a Novel Combination of K-Means Clustering and Modified Watershed Algorithm

Segmentation of White Blood Cells From Microscopic Images Using a Novel Combination of K-Means Clustering and Modified Watershed Algorithm

Recognition of white blood cells (WBCs) is the first step to diagnose some particular diseases such as acquired immune deficiency syndrome, leukemia, and other blood-related diseases that are usually done by pathologists using an optical microscope. This process is time-consuming, extremely tedious,...

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Bibliographic Details
Main Authors: Narjes Ghane, Alireza Vard, Ardeshir Talebi, Pardis Nematollahy
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
K-means clustering
segmentation
thresholding
watershed algorithm
white blood cells
Online Access:http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2017;volume=7;issue=2;spage=92;epage=101;aulast=Ghane

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http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2017;volume=7;issue=2;spage=92;epage=101;aulast=Ghane

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