Title :
An improved methodology for blood cell counting
Author :
Tulsani, Hemant ; Gupta, Rajesh ; Kapoor, Ravikant
Author_Institution :
Electron. & Commun. Dept., Ambedkar Inst. of Adv. Commun. Technol. & Res., New Delhi, India
Abstract :
In this paper, we present an approach for counting blood cells during blood smear test. The approach presented in this paper eliminates the major problem of overlapping cells while counting by segmentation using morphological watershed transformation and regional maxima computation providing high degree of accuracy. Simulation results of counting red blood cells (RBCs), white blood cells (WBCs) and platelets in blood smear test images are also presented. The simulations are done in MATLAB®.
Keywords :
blood; cellular biophysics; image segmentation; medical image processing; MATLAB; RBC; WBC; blood cell counting; blood smear test imaging; blood smear testing; improved methodology; morphological watershed transformation; platelets; red blood cells; regional maxima computation; segmentation; white blood cells; Algorithm design and analysis; Biomedical imaging; Image reconstruction; Image segmentation; Red blood cells; Transforms;
Conference_Titel :
Multimedia, Signal Processing and Communication Technologies (IMPACT), 2013 International Conference on
Conference_Location :
Aligarh
Print_ISBN :
978-1-4799-1202-5
DOI :
10.1109/MSPCT.2013.6782094
