Automated malaria parasite and there stage detection in microscopic blood images

Malaria is a dreadful disease in the hematological field causing millions of death. Hence the rapid diagnosing and proper medication is the intense need of era. The following work aims an automated system which will detect the malaria parasite along with its stage in which it is. Various Image processing techniques are used in this proposed method. The method proceeds in steps like image acquisition, segmentation, feature extraction and then classification. The features: color, shape, size, intensity, texture will be extracted and will be used for the segmentation and classification stage. In first level of classification, the presence of malaria parasite in the Red Blood Corpuscles will be checked and then the stage and type of parasite will be determined using multi-stage Support Vector Machine. The expected results will be more accurate (more than 95%).