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Author Farnoosh, Sadeghian ♦ Miqbal, Saripan ♦ Zainina, Seman ♦ Badrul, Abdul Kahar ♦ Abdul, Ramli
Source Directory of Open Access Journals (DOAJ)
Content type Text
Publisher BioMed Central
File Format HTM / HTML
Date Created 2011-03-04
Copyright Year ©2009
Language English
Subject Domain (in LCC) R5-920 ♦ QH301-705.5
Subject Keyword White blood cell segmentation ♦ Snake algorithm ♦ Biology ♦ Zack thresholding ♦ Science ♦ Medicine ♦ Active contours
Abstract Abstract Evaluation of blood smear is a commonly clinical test these days. Most of the time, the hematologists are interested on white blood cells (WBCs) only. Digital image processing techniques can help them in their analysis and diagnosis. For example, disease like acute leukemia is detected based on the amount and condition of the WBC. The main objective of this paper is to segment the WBC to its two dominant elements: nucleus and cytoplasm. The segmentation is conducted using a proposed segmentation framework that consists of an integration of several digital image processing algorithms. Twenty microscopic blood images were tested, and the proposed framework managed to obtain 92% accuracy for nucleus segmentation and 78% for cytoplasm segmentation. The results indicate that the proposed framework is able to extract the nucleus and cytoplasm region in a WBC image sample.
ISSN 14809222
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2009-01-01
e-ISSN 14809222
Journal Biological Procedures Online
Volume Number 11
Issue Number 1
Page Count 11
Starting Page 196
Ending Page 206


Source: Directory of Open Access Journals (DOAJ)