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A Survey on Tumor Node Detection in PET/CT image based on Image Fusion

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  • M. Mohanasundari
  • D. Kaviya

Abstract

To enhance the spatial and spectral resolution from several low resolution images, image fusion is required. Image fusion based on Discrete Wavelet Transforms (DWT) is one of the superior methods because it is a multi resolution approach, it allows image decomposition in different kinds of coefficients and provides directional information. DWT based fusion methods and Haar wavelet based fusion method are used in literature when compared to pixel averaging method, select maximum and minimum method. In the present work, contourlet transform and neural networks are integrated to exploit the classification capabilities of neural networks to fuse PET and CT image. The fused images of the proposed method are more complete with minimum distortion and eliminate most of the visual artifacts.

Suggested Citation

  • M. Mohanasundari & D. Kaviya, 2018. "A Survey on Tumor Node Detection in PET/CT image based on Image Fusion," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(7), pages 320-330, October.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i7:id:hcseit183757
    Note: Article URL: https://ijsrcseit.com/CSEIT183757
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