SCR Technique for Tumour Operation using Biomedical Image Processing and its Implementation in TMS320C6713

S. Lysiya Merlin*, M. Nethravathi**, K. P. Harini***, N. Santhiyakumari****
*_**_*** Student, Department of Electronics and Communication Engineering, Knowledge Institute of Technology, Salem.
**** Professor and Head, Department of Electronics and Communication Engineering, Knowledge Institute of Technology, Salem.
Periodicity:January - March'2015
DOI : https://doi.org/10.26634/jip.2.1.3261

Abstract

One of the major issues in the field of biomedical research is dealt with operating a tumor tissue successfully without causing any damage to the other good tissues. 'SCR (store, compare, recognize) technique for tumor operation using biomedical image processing and its implementation in TMS320C6713' is an advanced process for identifying and tracking the images of the tumor by using 'Aphelion Dev Software development module'. This is especially used for locating the tumor found in highly sensitive organs like brain and heart. In this project, two stages have been involved. The first stage involves the conversion of raw binary information scanned from a CT scan image of the infected organ to colour image. This processed image helps the surgeons to find the tumor sizes and locate them. In second stage, the operation of the tumor analyzed in stage I is recorded using a camera in a neck worn pendent. The recorded video frames are compared with the stored processed image and its histogram of stage I. As a result of this, the tumor tissues are segmented from the good tissues in the video. Now the output video after processing has only the cropped images of the tumor eliminating the good tissues. Using Parallel Processing technique in TMS320C6713 processor, the computational time can be reduced. Thus the surgeons can operate the identified tumor safely without affecting the other good tissues in a short span of time.

Keywords

Colour Image Processing, Histogram, Aphelion Dev Software, Segmentation, TMS320C6713 Processor

How to Cite this Article?

Merlin, S.L., Nethravathi, M., Harini, K.P., and Santhiyakumari, N. (2015). SCR Technique for Tumour Operation using Biomedical Image Processing and its Implementation in TMS320C6713. i-manager’s Journal on Image Processing, 2(1), 1-6. https://doi.org/10.26634/jip.2.1.3261

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