Stefano Naitza
White Blood Cells Identification and Counting from Microscopic Blood Images
PUTZU, LORENZO;DI RUBERTO, CECILIA
2013-01-01
Abstract
The counting and analysis of blood cells allows the evaluation and diagnosis of a vast number of diseases. In particular, the analysis of white blood cells (WBCs) is a topic of great interest to hematologists. Nowadays the morphological analysis of blood cells is performed manually by skilled operators. This involves numerous drawbacks, such as slowness of the analysis and a nonstandard accuracy, dependent on the operator skills. In literature there are only few examples of automated systems in order to analyze the white blood cells, most of which only partial. This paper presents a complete and fully automatic method for white blood cells identification from microscopic images. The proposed method firstly individuates white blood cells from which, subsequently, nucleus and cytoplasm are extracted. The whole work has been developed using MATLAB environment, in particular the Image Processing Toolbox.File | Size | Format | |
---|---|---|---|
World Academy of Science, Engineering and Technology 73 2013.pdf open access
Description: Articolo principale
Type: versione post-print
Size 991.3 kB
Format Adobe PDF
|
991.3 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.