Abstract

Blood smear exploration is a required part for rapid concealing of malaria parasite. Basic detection of malaria by\nsmear test is inexpensive and highly sensitive. For the testing of blood smear, human power and time can be minimized by\nusing automated computational techniques. These techniques would ease such recognitions that are normally based on\nmorphology and in various cases on detection of colours. In this review paper, we discuss a combined algorithm consisting of\nmorphological operations and colour based pixel discrimination technique to detect malaria parasites from blood smear\nimages of Plasmodium vivax. Using morphological operation partitioning of cells from blood smear image is done and colour\nbased pixel discriminator differentiates malaria cells from segmented image. Mainly the examined method does not require\nany training set and assumes unattended methodology. It is presuming that the algorithm can enumerate malaria in dirty\nslides. This makes the algorithm more powerful and robust.