International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2599 NAIL BASED DISEASE ANALYSIS AT EARLIER STAGE USING MEDIAN FILTER IN IMAGE PROCESSING Mrs. D. Nithya 1 , S. Masil Asha 2 , Rupasree Kurapati 3 , Buggareddy Shanmukha Priya 4 , D.Divya 5 1 Assistant Professor, Dept. of Electronics and Communication Engineering, Panimalar Engineering College 2,3,4,5 UG Scholar, Dept. of Electronics and Communication Engineering, Panimalar Engineering College, Chennai-600123, Tamil Nadu, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - This paper gives idea to predict diseases using the colour of the nail at early stage of diagnosis. The main aim of our project is to analyze the disease without causing harm to humans. In earlier traditional system of disease detection, doctors observe the nails of patients and will predict the disease. Many diseases can be identified by analyzing nails of patients .But it is difficult for human eyes to differentiate the slight changes in colour. So it is less accurate and time consuming .Our proposed system can be quite useful to overcome this issue since it is fully computer based. The input to the proposed system is image of nail which can be captured through web camera. The system will process the nail image and will extract the nail’s features to diagnose the disease. Human nail consist of various features, our proposed system uses nail color changes to diagnose the disease. Here, first training set data is prepared from nail images of patients with specific diseases. This training data set is compared with extracted feature from input nail image to obtain the result. In our experiment, we found that training set data are correctly matched with color feature of nail image results. It is focused on the system of image recognition on the basis of color analysis. The proposed system is based on the algorithm which automatically extracts only nails’ area from scanned back side of palm (Region of Interest). These selected pixels are processed for further analysis using median filters. The system is fully computer based, so even small discontinuities in color values are observed, and we can detect color changes in the initial stage of disease. By this way, this system is useful in prediction of diseases at their initial stages. Key Words: Fingernail, nail plate, ESDD (Early Stage Disease Diagnosis). 1. INTRODUCTION Image processing is a technique in which the image is converted into digital form and performs few operations on the image to extract helpful information. An image is defined as the array of matrix of square pixels which are arranged in rows and columns. Digital image processing has many applications such as face Recognition, signature recognition, medical image processing, military applications, Iris recognition etc. The process of analysing a digital image consists of following phases: The analysis of nail image includes following steps. 1. Image Acquisition: It is the first step in image processing. Commonly this involves pre-processing like scaling etc. The image can be taken as an input through web camera. High resolution images helps in accurate image analysis. 2. Pre-processing: In this step, image data is improved to enhance some image features for further processing. Enhancement, restoration, compression are methods of pre- processing. 3. Segmentation: In this step, the image is divided into regions for extracting features. 4. Feature extraction: This step consists of finding and extracting the features which can be used to determine the meaning of image. The features of an image are various attributes or characteristics of image field. Natural and artificial are the two types of features. Visual appearance of an image is followed in natural while artificial features are result from some manipulations of an image. Natural features includes gray scale textural region, brightness of the region of pixel, edge outline of an object etc. and artificial features includes image amplitude histograms and special frequency spectrum. 5. Comparison with database: The generated output from the phase of feature extraction is then compared with the database to diagnose the disease. 6. Result: By analysing the result in previous phase disease detection is made. Many ways are available to identify the disease inhuman body such as observation of eyes, tongue and nails, pathological, nails and its colour are considered to identify diseases. Nails are the envelope of a fingertip and they are the last to receive oxygen because they are farthest from heart. Due to this, nails are often the first to show signs of disease. The structure of finger nail is shown below: