Efficient Real – Time Analysis for Sequence of Medical Images using Support Vector Machine
T. Abinaya1, A. Shobana2, S. Mekala3, P. Maragathavalli4
1T.Abinaya, ECE, Vel Tech, Avadi.
2A.Shobana, ECE, Vel Tech, Avadi.
3S.Mekala, ECE, VelTech, Avadi.
4P.Maragathavalli, ECE, VelTech, Avadi.
Manuscript received on January 11, 2014. | Revised Manuscript received on January 15, 2014. | Manuscript published on January 25, 2014. | PP:30-32 | Volume-2 Issue-3, January 2014. | Retrieval Number: C0639012314/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The objective of the proposed work is to develop an automatic system which is capable of determining the stage of the ongoing surgical operation by analyzing the video sequence obtained from an endoscope during surgery. The system is designed such that, they are: 1. capable of distinguishing between different organs on the image obtained from an endoscope 2. Capable of making real-time decisions when working with video stream. This paper uses Support Vector Machine (SVM) which is used as a classifier.
Keywords: Endoscope, Support Vector Machine (SVM), Neural Network, Processing Elements, Nodes, Principal Component Analysis method(PCA).