Open AccessWBCs detection depending based on a binary conversion of the color component in a Ycbcr color space
Author(s) -
Mohammed H. Mohammed,
Hazim G. Daway,
Jamela Jouda
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/928/7/072081
Subject(s) - color space , ycbcr , artificial intelligence , color balance , computer vision , rgb color model , computer science , binary number , hsl and hsv , pattern recognition (psychology) , component (thermodynamics) , color image , mathematics , image processing , image (mathematics) , medicine , physics , immunology , arithmetic , thermodynamics , virus
Detection of white blood cells (WBCs) automatically is an important issue that has many applications in the field of medical imaging, in this research, we tend to detect white blood cells depending on the Ycbcr color space. The proposed method has been used for the binary conversion of color compounds cbcr depending on the certain threshold limits. In the experimental results from microscopy images of blood samples, the proposed algorithm was compared with several other algorithms for detection by using a quality scale that compares manual cell count with automatic detection of algorithms where the proposed algorithm obtained a high distinction accuracy reached to 100% compared to other methods.