This research work aims to investigate the required image processes to extract the features of the red blood cells, and to utilize these features to recognize the normal blood cells from some considered types of anemia infected blood cells. Two sets of features (i.e., geometrical and textural) were suggested, and their discrimination capabilities have been tested. The suggested blood cell recognition scheme consists of three stages. The first stage implies all image processing steps required to determine the background/target colors and to isolate the cell area (target) from the surrounding. Then, the external boundary pixels of the cell cut-out are traced. In the second stage the trace points are used to determine some adopted geometrical features (like; Fourier descriptors, aspect ratio, moments) which have been used to describe the shapes of the blood cells. Also, some textural features are computed to evaluate the spatial color variation within the blood cell. A comprehensive analysis was performed to determine the capability of the considered geometrical and textural features to recognize the types of blood cells.
Product Identifiers
Publisher
Lap Lambert Academic Publishing
ISBN-13
9783659518188
eBay Product ID (ePID)
28049035033
Product Key Features
Author
George Loay, Alkrimi Jameela
Publication Name
Medical Diagnosis by Analysis of Blood Cell Images
Format
Paperback
Language
English
Subject
Engineering & Technology
Publication Year
2014
Type
Textbook
Number of Pages
132 Pages
Dimensions
Item Height
229mm
Item Width
152mm
Item Weight
204g
Additional Product Features
Title_Author
George Loay, Alkrimi Jameela
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