Client Server Architecture for Embedding Patient Information on X-Ray Images Naseera Shaik* School of Computing Science and Engineering, VIT University, Vellore, India *Corresponding Author E-mail: naseerakareem@gmail.com
Online published on 12 January, 2017. Abstract Now a day's data is increasing exponentially, maintaining the data is very important part of daily processing. In almost every sector i.e. medical, educational, Government sector and so on. In the proposed paper we are focusing on the medical sector data reduction. Objective To develop a technique for embedding patient information on the X-Ray image by using image segmentation techniques. Methods The image segmentation is done by dividing the two regions named as Region Of Interest (ROI) and Region Of Non Interest (RONI), and then applying Least Significant Bits (LSB) algorithm for information embedding. Results The patient information is embedded into the X-Ray image itself and no separate records are maintained for the same. Conclusion The proposed technique is efficient in reducing the size and maintenance of large databases in Hospital and Clinical Laboratories. Top Keywords Client-Server Model, Segmentation, Medical Images, Image Processing, X-Ray images, Stenography, Text Hiding, Diagnosis Information Hiding. Top |