A Survey on Fusion Based Methods using MR Image Analysis for Disease Diagnosis

  Padmanjali A Hagaragi,  Dr.Shubhangi DC

Image Fusion in medical images is to combine two/more images to improve more detailed information to produce better visibility of the fused Image for disease diagnosis. Most existing traditional methods of image fusion like Simple Average, Minimum, Maximum, Weighted, PCA, have limitations in fused image like image is not clear, blurring effects, noise effects, Spectral degradation, block discontinuities, etc. There are several traditional existing methods of an image fusion techniques, based on their properties are grouped into two Spatial and Transforms domains. This Survey paper shows the analysis and comparison of various techniques and methods of image fusion based on their pixel level, feature level, Decision level technique for Brain Tumour image analysis for proper disease diagnosis using MR images.

Keywords- Fusion, Simple Average, PCA, Spatial, Transform, Pixel, MRI, Brain Tumor

Unique Identification Number - IJEDR1704051
Page Number(s) - 328-333
Pubished in - Volume 5 | Issue 4 | October 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Padmanjali A Hagaragi,  Dr.Shubhangi DC,   "A Survey on Fusion Based Methods using MR Image Analysis for Disease Diagnosis", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.328-333, October 2017, Available at :http://www.ijedr.org/papers/IJEDR1704051.pdf