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White Blood Cell Segmentation by Circle Detection Using Electromagnetism-Like Optimization
Joint Authors
Zaldivar, Daniel
Cuevas, Erik
Pajares, Gonzalo
Pérez-Cisneros, Marco
Díaz, Margarita
Oliva, Diego
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-13
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Medical imaging is a relevant field of application of image processing algorithms.
In particular, the analysis of white blood cell (WBC) images has engaged researchers from fields of medicine and computer vision alike.
Since WBCs can be approximated by a quasicircular form, a circular detector algorithm may be successfully applied.
This paper presents an algorithm for the automatic detection of white blood cells embedded into complicated and cluttered smear images that considers the complete process as a circle detection problem.
The approach is based on a nature-inspired technique called the electromagnetism-like optimization (EMO) algorithm which is a heuristic method that follows electromagnetism principles for solving complex optimization problems.
The proposed approach uses an objective function which measures the resemblance of a candidate circle to an actual WBC.
Guided by the values of such objective function, the set of encoded candidate circles are evolved by using EMO, so that they can fit into the actual blood cells contained in the edge map of the image.
Experimental results from blood cell images with a varying range of complexity are included to validate the efficiency of the proposed technique regarding detection, robustness, and stability.
American Psychological Association (APA)
Cuevas, Erik& Oliva, Diego& Díaz, Margarita& Zaldivar, Daniel& Pérez-Cisneros, Marco& Pajares, Gonzalo. 2013. White Blood Cell Segmentation by Circle Detection Using Electromagnetism-Like Optimization. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-468739
Modern Language Association (MLA)
Cuevas, Erik…[et al.]. White Blood Cell Segmentation by Circle Detection Using Electromagnetism-Like Optimization. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-468739
American Medical Association (AMA)
Cuevas, Erik& Oliva, Diego& Díaz, Margarita& Zaldivar, Daniel& Pérez-Cisneros, Marco& Pajares, Gonzalo. White Blood Cell Segmentation by Circle Detection Using Electromagnetism-Like Optimization. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-468739
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-468739