Documentation and other presentation related information to following project:-
https://drive.google.com/drive/folders/1gKWZLTGmQp4o0BMjw4Y0bTpd7XuIsoX2?usp=share_link
To develop a simple data fusion mechanism by using frequency as a domain and using the discrete wavelet transform method. To evaluate parameters for the developed model of a simple data fusion mechanism
the simple explaination of the above concept is given in the folowing images
build models for data fusion. This model will integrate information from input multiple images. This will lead all the information can be displayed in one image. Merging data from multiple sources is more reliable and less likely to detect errors. As data becomes more accessible, data fusion aims to provide fused data output which will be the optimal input for deep learning-based image classification model. This model provides accurate information and increased reliability. Data fusion uses machine learning to improve performance and provide satisfying fusion results.
input data would be given as follows :- a sample data of the brain tumor disease to perform the data fusion
output result for the image fusion model :-
the final output given by the module is given as follows:-
