(3.238.72.180)
Users online: 1679    [ij] [ij] [ij] 
Email id
 

Research Journal of Pharmacy and Technology
Year : 2016, Volume : 9, Issue : 9
First page : ( 1337) Last page : ( 1340)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2016.00255.9

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

  
║ Site map ║ Privacy Policy ║ Copyright ║ Terms & Conditions ║ Page Rank Tool
597,649,263 visitor(s) since 30th May, 2005.
All rights reserved. Site designed and maintained by DIVA ENTERPRISES PVT. LTD..
Note: Please use Internet Explorer (6.0 or above). Some functionalities may not work in other browsers.