Detection and counting of blood cells using image segmentation: A review

In medical field blood testing is considered to be one of the most important clinical examination test. In clinical laboratory counting of different types of blood cells is important for physician to diagnose the diseases in particular patient. Manual microscopic inspection of blood cells is time consuming and requires more technical knowledge. Therefore there is a need to research for an automated blood cell detection system that will help physician to diagnose diseases in fast and efficient way. Many researchers have done their research for counting blood cells using different methodologies. This paper reviews different methodologies that have been used for blood cell counting. The objective is to study these methodologies and identify future research direction in order to get more accuracy.