This paper describes the construction of a web
service for medical image analysis based on the Service Oriented
Architecture (SOA). This proposal can help the medical image
analyzer including clinicians and research institutes. The
proposed web based framework includes an integrated
environment to enable scientists and clinicians to access the
previous and current medical image analysis algorithms using a
user interface without any access to the algorithm codes and
procedures. In this paper, for medical image analysis algorithm,
the existing AFCM, BCFCM, GKFCM, SFKFCM, GFC and
FLGMM are utilized. These algorithms can be hidden in an
application server but allow the users to use the algorithms as a
package without any access to see or alter their code. So this
framework provides security and privacy to algorithms hidden in
the application server. In other words, in the user part, users send
their images to the server and choose one of the algorithms, most
suitable to serve their purpose, via an interface; in the server part,
the algorithm is applied to the uploaded image and results are
returned to the user.
T. Avudaiappan : completed his B.E Degree from the Department
of Computer Science and Engineering, Jayaraj Annapackiam CSI
college of Engineering from Anna University; Chennai in the year
2010.He has completed his M.E Degree from the Department of
computer science and Engineering in Karpagam University,
Coimbatore in the year 2012. He is a Research Scholar in the
Department of Computer Science and Engineering, Manonmaniam
Sundaranar University, Tirunelveli. His research interests include,
Cloud Computing, Parallel Computing, Image Processing and Web
Development.
Dr. R. Balasubramanian : received his B.E [Hons] degree in
Computer Science and Engineering, from Bharathidhasan
University in the year 1989. He completed his M.E degree in
Computer Science and Engineering, from Regional Engineering
College, Trichy/Bharathidhasan University in the year 1992. He is
working as a Professor in the department of Computer Science
and Engineering, Manonmaniam Sundaranar University,
Tirunelveli. He received his Doctorate in Computer Science and
Engineering, Manonmaniam Sundaranar University, Tirunelveli in
the field of Digital Image Processing, in the year 2011.He has
published papers in many National and International Level
Journals and Conferences. His research interests in the field of
Digital Image Processing, Data mining, and Wireless Network &
Cloud Computing.
N. Mathavaraj : received the B.E. degree in Electrical and
Electronics Engineering from Manonmaniam Sundaranar
University, Tirunelveli, India, in 1994.He is currently an M.E.
Scholar in Department of Computer Science and Engineering,
Manonmaniam Sundaranar University, Tirunelveli, India.
Medical Image Analyzer
Image Segmentation
MATLAB NE Builder
Magnetic Resonance Imaging (MRI)
In this paper we have has presented a web service for
image segmentation that focuses on the challenges and
problems posed by very large datasets. It has been
implemented using MATLAB NE Builder for very large
datasets in web environment. In terms of performances,
the web Environment was faster than the standalone Environment. A web service reduces the time and the
computing power for image segmentation algorithm. The
computational results showed that the FLGMM provides
better result compare to the other four segmentation
algorithms. Our system is implemented based on SOA
technology for consideration of the consistency, security
and interoperability of web services. Furthermore, this
study also defines the ways for cloud service
implementation through the SOA approach and evaluation
steps.
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