An Automatic Perception of Blood Sucker on Thin Blood Splotch Using Graphical Modeling Methods

Abstract

Parasite is a host bacterium known as a plasmodium which lives on a different organism. This parasite is susceptible to malaria, dengue, typhoid, etc. The involvement of parasite in the blood cells will also lead to death of the humans. It is also very important to identify and diagnose the parasite in early blood film images in order to save human life. Therefore, the key slogan of this paper is to identify in less time the parasite in red blood cells using a new image processing technique by blood film images in early phases. Aim: In this article, the primary focus is on identifying the blood sucker which occur in red blood cells using thin blood film images in less time using a modern image processing system, in early stage. Method: In several steps, the procedure used detects the presence of blood sucker on photographs of blood films. The first step is to obtain the image from an optical microscope laboratory. Using the standard method, the image is then transferred into the grayscale image. The output image which is a grayscale image is transformed into the single-color image i.e., monochrome image which contains the pixel values using the “Binary Threshold method”. This monochrome image is then transformed into a matrix format and printed with binary values i.e., zero’s and one’s. Conclusion: The output matrix method will be displayed with the binary values by either one or zero which represents the presence or absence of blood sucker. If all zeroes are displayed in whole image, then no blood sucker presence can be reached in that case, and if any ones are displayed in the blood film images, it may be found that the blood film images contain a blood sucker.