Abstract: The human blood consists of the RBCs, WBCs, Platelets and Plasma. Blood is a health indicator therefore segmentation and identification of blood cells is very important. Complete blood count (CBC) includes counting of all the cells which determines persons health. The RBC and WBC counts very important to diagnose various diseases such as anemia, leukemia, tissue damage etc. Old conventional method used in the hospital laboratory involves manual counting of blood cells using device called hemocytometer and microscope. But this method extremely monotonous, laborious , time consuming and leads to the inaccurate results due to human error. Also there are some expensive machines like analyzer, which are not affordable by every laboratory. The objective of this paper is to produce a survey on an image processing based system that can automatically detect and count the no of RBCs and WBCs in the blood sample image. Image acquisition, pre-processing,  Image enhancement, image segmentation, Image post-processing and counting algorithm these are six steps involved in an image processing algorithm.



PDF | DOI: 10.17148/IJARCCE.2020.9649

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