An Improved Computer Vision Method for White Blood Cells Detection
Joint Authors
Zaldivar, Daniel
Cuevas, Erik
Pérez-Cisneros, Marco
Manzanares, Miguel
Díaz, Margarita
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-19
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The automatic detection of white blood cells (WBCs) still remains as an unsolved issue in medical imaging.
The analysis of WBC images has engaged researchers from fields of medicine and computer vision alike.
Since WBC can be approximated by an ellipsoid form, an ellipse detector algorithm may be successfully applied in order to recognize such elements.
This paper presents an algorithm for the automatic detection of WBC embedded in complicated and cluttered smear images that considers the complete process as a multiellipse detection problem.
The approach, which is based on the differential evolution (DE) algorithm, transforms the detection task into an optimization problem whose individuals represent candidate ellipses.
An objective function evaluates if such candidate ellipses are actually present in the edge map of the smear image.
Guided by the values of such function, the set of encoded candidate ellipses (individuals) are evolved using the DE algorithm so that they can fit into the WBCs which are enclosed within the edge map of the smear image.
Experimental results from white blood cell images with a varying range of complexity are included to validate the efficiency of the proposed technique in terms of its accuracy and robustness.
American Psychological Association (APA)
Cuevas, Erik& Díaz, Margarita& Manzanares, Miguel& Zaldivar, Daniel& Pérez-Cisneros, Marco. 2013. An Improved Computer Vision Method for White Blood Cells Detection. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-448653
Modern Language Association (MLA)
Cuevas, Erik…[et al.]. An Improved Computer Vision Method for White Blood Cells Detection. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-448653
American Medical Association (AMA)
Cuevas, Erik& Díaz, Margarita& Manzanares, Miguel& Zaldivar, Daniel& Pérez-Cisneros, Marco. An Improved Computer Vision Method for White Blood Cells Detection. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-448653
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448653