Research article

COMPARISON OF IMAGE PROCESSING TECHNIQUES FOR CLASSIFICATION OF RED BLOOD CELL STRUCTURES

Gayatri Mirajkar

Online First: March 22, 2020


Investigation of blood smear is a significant symptomatic test utilized in the determination of a variety of sicknesses. The strategy for programmed conclusion of minute blood smear pictures by recognizing and isolating it to various classes of cells that are featured in the paper. Robotization of this cycle eventually limits the extent of potential illnesses saving a extensive measure of time. Recognizable proof of red platelets (RBCs) is completed/done by the framework utilizing unique procedures of picture handling activities like pre-handling, tasks for morphology, marking and extraction of highlights to ascertain shape and size of the RBCs. Morphological properties can give data in regards to state of the cell. By these activities and computations, RBCs are arranged. There are 2 phases in red cell arrangement process, first is the detachment of RBCs to typical and strange followed by strange cells grouping to three subclasses in view of the cell shape and construction. The point of this framework is to help pathologist by giving fast outcomes by examining the smear tests. The fix of these sicknesses is conceivable, when it is recognized at a previous stage.

Keywords

Classification, Red Blood, Comparison, image processing, techniques, Classification, red blood cell, structures