International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
ANALYSIS OF BLOOD SAMPLES USING ANFIS CLASSIFICATION SHANTHI PRIYA S1,RAJA PRIYA M2,PRIYANKA B3 123Student,
Dept of Electronics and Communication, Panimalar Institute of Technology, Chennai – Tamil Nadu Mrs.JEYA RAMYA.V M.E.,Ph.D4 4Assosiate
Professor, Panimalar Institute of Technology, Chennai-600123.
---------------------------------------------------------------------***--------------------------------------------------------------------Abstract— Disorders in the blood mainly are identified through inspection of microscopic images of blood cells. Once identification of blood disorders are completed, it is possible to classify various types of blood disorder. In India, there are an estimated 5.3 per 100, 00 men and 3.0 per 100, 00 women are affected by leukemia. This paper determines the detection of different types of leukemia and their classification using Adaptive Neuro Fuzzy Interference System. Abnormal increase of white blood cells results in leukemia which begins in the bone marrow. Any changes in the texture, geometry, colour and amount of WBC of the microscopic images can be used as input for the input for the classifier. Once leukemia is detected, prevention can be done at an early stage. The entire process is simple and cost effective. Keywords—Whitebloodcells, Microscopic images, Leukemia, ANFIS
1. INTRODUCTION Medical image processing is a technique used to enhance and display images which are captured using x-rays, ultrasound and other optical imaging technologies. Image processing also establishes the diameter, volume, flow parameter of blood and other microscopic changes in particular images. Medical imaging also establishes a database of normal anatomy and physiology to make it possible to identify abnormalities. This has led to a huge growth in the application of digital image processing techniques for solving medical problems [1]. The most challenging aspect of medical imaging lies in the development of integrated systems which can be used in the Health care sector. At the moment microscopic images of leukemia are used for the identification of blood disorders, it can lead to classification of certain diseases related to blood [1]. Blood cells play a vital role in carrying out various biological tasks in the body. Bloods cells are classified as Erythrocytes or red blood cells, Leukocytes also termed as white blood cells and platelets. Blood cell analysis is an important diagnostic tool because it can help to detect a wide range of diseases. Two types of blood cells analysis are performed: complete blood count and differential blood count.[2]. The cell counts for peripheral blood are obtained manually or by an automatic flow cytometer, whereas the counts for bone marrow are always obtained manually [2]. The manual counting is done via visual inspection by technicians using a microscope. An automated diagnosis system will alleviate the workload and the influence of subjective factors. Automated detection works by removal of red blood cells and platelets from the background.[2][3].In this paper, we have used a classification technique called anfis to classify the different types of leukemia. Medical images have very similar gray level and texture among the interested objects. Another problem may be lack of a sufficient number of training samples if a supervised learning technique is employed by using ANFIS. A minimum data base of at least 50 images is required. In this paper, structure element analysis along with feature extraction is applied in order to detect the abnormal cells and images are trained and anfis is used as the classification process to classify the different types of leukemia. 2. METHODOLOGY Leukemia occurs when the bone marrow produces abnormal white blood cells called leukemia cells. Leukemia cells don't die when they become old and damaged instead, they continuously divide and crowd out normal blood cells. This leads to low level of normal blood cells and deprives the body from getting oxygen to the tissues, controls bleeding or fights infections. Leukemia’s are named based on a few factors such as the quick development of the disease, severity of the disease and the type of leukocytes it affects.
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