Study on Detection of Leukemia in Human Blood Pattern Based on Microscopic Photographs Using Image Processing Techniques

For the time being, blood disorders are defined by examination of microscopic images of blood cells. It may lead to identity the blood disorders class of blood-associated diseases. This paper discusses an initial look at the creation of Microscopic Blood Pattern Images to detect leukemia forms. Pixel reading can be very critical since it is possible to detect and classify pixel diseases at an earlier stage. From there, more steps, such as disease control, surveillance and prevention, can be completed. Photos are used because they can be fairly priced and do not require costly check-out and laboratory equipment. White blood cell deficiency, leukemia, will be identified by the gadget. The computer can use microscopic image capabilities to look at texture, geometry, colour and statistical evaluation changes. Changes in these characteristics may be used as feedback to a classifier. A literature review has been undertaken and it is suggested to categories types of leukemia by reinforcement learning to know. A brief debate about the problems involved has also been prepared by researchers.