TY  - JOUR
T1  - Optimization of 3D Fused Image Using Feature Matching Based on SIFT and SURF
AU - M. Darwish, Saad AU - M. Ghoneim, Maha 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 23
SP  - 10133
EP  - 10140
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.10133.10140
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.10133.10140
KW  - Image fusion
KW  -3D Fusion system
KW  -F-transform
KW  -SURF
KW  -SIFT
KW  -wavelet
AB  - 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.
ER  -