DETECTION OF ANEMIA: A REVIEW

BIOMEDICAL ENGINEERING

Anemia is the most common hematological disorder affecting about one-fourth of the world population. It can be defined as the decrease in the amount of hemoglobin in blood or can be described as the lowered ability of the blood to carry oxygen. The manual identification, counting and detection of red blood cells to identify presence of anemia is a tedious and also an error generating procedure. So many detection processes using image processing based techniques has been proposed by different researches using different methods .Various transform methods and segmentation procedures are among those methods to detect and finally making a count on it using counting algorithms to identify the presence of anemia. This makes detection process an efficient and also an accurate one. The objective of this paper is to produce a review on an image processing based system which is able to automatically detect and count the number of RBCs in the blood sample image and finally to detect anemia.

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