27Mar 2017

EVALUATION OF GRADIENT GEOMETRY FOR MULTIMODAL MEDICAL IMAGE FUSION

  • Department of Electronics and Instrumentation Engineering, St.Joseph’s College of Engineering, Chennai-600119, Tamilnadu, India.
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Fusion of medical images such as MRI and PET by gradient selection is attempted in this paper. The efficiency of the fusion process depends on the selection of the appropriate image geometry. This work analyses different gradient geometries for medical image fusion. From the experimental analysis, it is found that the images fused by the Southwell geometry produced better results when compared to Fried geometry and Hudgin geometry.

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[Jael Edith. N, Nithya. B and Palani Thanaraj. K. (2017); EVALUATION OF GRADIENT GEOMETRY FOR MULTIMODAL MEDICAL IMAGE FUSION Int. J. of Adv. Res. 5 (Mar). 1098-1105] (ISSN 2320-5407). www.journalijar.com

Jael Edith.N
St.Joseph's College Of Engineering

DOI:

Article DOI: 10.21474/IJAR01/3611      
DOI URL: https://dx.doi.org/10.21474/IJAR01/3611

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