@article{MAKHILLJEAS2018132317237,
    title = {Optimization of 3D Fused Image Using Feature Matching Based on SIFT and SURF},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {23},
    pages = {10133-10140},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.10133.10140},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.10133.10140},
    author = {Saad and},
    keywords = {Image fusion,3D Fusion system,F-transform,SURF,SIFT,wavelet},
    abstract = {Collecting information from sensors with different physical characteristics increases the
understanding of our surroundings and can provide 3D view. Moreover, 3D color images provide geoscientists,
environment planners, mapping experts and military officers with easy-to-understand color images
and useful height information which improves the interpretation of the environment of the areas of interest. This
study proposes a novel method to optimize F-transform fused 3D images with feature matching technique based
on Scale Invariant Feature Transform (SIFT) followed by Speed Up Robust Feature (SURF). Quantitative and
visual results show that a more focused and cleared fused image is obtained after applying feature matching
with SIFT followed by further refinement with SURF. The proposed method is robust and independent of scale,
light intensity and orientation of camera. It shows that, F-transform is a promising 3-D multisensor image fusion
algorithm that surpasses the previous approaches based on Hermite and wavelet transform due to its
computational simplicity.}
    }