TY  - JOUR
T1  - Image Matching Performance Comparison using SIFT, ASIFT and
Moment Invariants
AU - Mohsin Arkah, Zinah AU - Ibrahim Hasan, Reem AU - Ebis, Sif. K. AU - A. Alwzwazy, Haider AU - A. Fadhel, Mohammed 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 20
SP  - 7656
EP  - 7662
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.7656.7662
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.7656.7662
KW  - Image matching
KW  -SIFT
KW  -ASIFT
KW  -moment invariants
KW  -rotating invariant
KW  -scaling invariant
AB  - It is important to improve the performance of images matching, so that, many algorithms have been
studied to achieve this goal. However, finding best one is still a very interested field of study because the
performance of matching is a wide term containing many factors like rotating invariant, scaling invariant, noise
invariant and etc. In this study, we compare the performance of the algorithms by calculating the score of
matching which is number of key points and number of matching. The descriptor should study with all cases
such as rotation with different angels and scaling of different sizes. We have implemented the Scale Invariant
Feature Transform (SIFT) as a first algorithm then we applied Affine Scale Invariant Feature Transform (ASIFT),
finally we applied moment invariants. Therefore by evaluating the results of these algorithms we can know
which one has good matches. ASIFT has shown a great performance in term of image matching.
ER  -