IJSR - International Journal of Scientific Research

Naufa N N

Volume : VII, Issue : XI, November - 2018

AUTOMATIC DETECTION OF LEUKEMIA IN HUMAN BLOOD SAMPLE BASED ON MICROSCOPIC IMAGES USING DIGITAL IMAGE PROCESSING

Naufa N N

Abstract :

Leukemia disease is one of the leading causes of death among human. Its cure rate and prognosis depends mainly on the early detection and diagnosis of the disease. This project is about the method of automated leukemia detection.In manual method, trained physician counts WBC to detect leukemia from the images taken from the microscope.But,this method is time consuming and not much accurate,because it completely depends on the physician’s skill.To overcome these drawbacks an automated technique of detecting leukemia is developed.Identification of blood disorders is done through visual inspection of microscopic images by examining changes like texture, geometry, colour and statistical analysis of images.Changes in this features will be used as a classifier input.In this technique image processing,segmentation,deletion and fill hole operations are used to obtain the cancerous blood cell and the project will be done by using Matlab