Multi Modal Medical Image Fusion Based on Two Scale Image Decomposition and Spare Representation

Project Code :TMMAAI163


The main objective of this project is to fuse the medical images at to build an image with better quality.



Multimodality image fusion is a popular subject in the medical imaging industry because it improves clinical diagnostic accuracy by combining complimentary information from several pictures. This study introduces a multimodal picture fusion technique based on two-scale image decomposition and sparse representation. These processes include the Convolution Neural Network (CNN), to develop the network for images. With the help of network, feature maps can be developed for images. Finally, by using an enhanced decision maps and fusion scheme the fused image is obtained. The experimental results show that the proposed multimodal image fusion scheme outperforms with some others methods by performing qualitative and quantitative analysis.


Keywords: Convolution Neural Network (CNN), Feature Maps, Fusion.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram


Software: Matlab 2018a or above


Operating Systems:

  • Windows 10
  • Windows 7 Service Pack 1
  • Windows Server 2019
  • Windows Server 2016


Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support


Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space


Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes

  • Introduction to Matlab
  • How to start with MATLAB
  • About Matlab language
  • Matlab coding skills
  • About tools & libraries
  • Application Program Interface in Matlab
  • About Matlab desktop
  • How to use Matlab editor to create M-Files
  • Features of Matlab
  • Basics on Matlab
  • What is an Image/pixel?
  • About image formats
  • Introduction to Image Processing
  • How digital image is formed
  • Importing the image via image acquisition tools
  • Analyzing and manipulation of image.
  • Phases of image processing:
    • Image Fusion
  • How detect & send a mail using Matlab
  • How to extend our work to another real time applications
  • Project development Skills
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

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