Detection of Sickle Cell Anemia from Microscopic Blood Images Using Different Local Adaptive Thresholding Techniques

Abstract

Modern image analysis methods are essential in treating and classification a range of medical abnormalities in today's world. There are a few points to bear in mind because once analyzing any image. The threshold phase is essential. Several scientists report their findings. Based on the situation, different image threshold models have been developed. Form of the requests Adaptive thresholding is a valuable diagnostic method for medical pictures of disease. This analysis uses adaptive image thresholding techniques. They are used to treat blood photos of patients who have sickle cell anaemia disease (SCD). The main focus of this paper is classification. Using Those methods is used to diagnose sickle cell Anaemia from blood smear images in the picture threshold and compare analysis.