Authors:
Abdelhai Lati
1
;
Mahmoud Belhocine
2
and
Noura Achour
1
Affiliations:
1
Laboratoire de Robotique, Parallélisme et Systèmes Embarqués LRPSE, BP 32, El Alia, Bab Ezzouar, 16111, Alger, Algeria, Université de Sciences et Technologie de Houari Boumedian USTHB, BP 32, El Alia, Bab Ezzouar, 16111, Alger and Algeria
;
2
Centre du Développement des Technologies Avancées CDTA, Cité 20 août 1956, Baba Hassen 16303, Alger and Algeria
Keyword(s):
Aerial Images, Image Mosaic, Fuzzy ILBP.
Related
Ontology
Subjects/Areas/Topics:
Image Processing
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
Abstract:
This article presents an efficient technique for aerial image mosaicing algorithm of overlapped pair of Unmanned Aerial Vehicle (UAV) images. Our algorithm is based on detecting some sparse distinguished set of pixels from captured image. Therefore, in the first stage, FAST algorithm was proposed for determining locations of feature pixels. Local binary pattern (LBP) technique is robust for describing features pixels, but it still suffers from different problems, such as noise and errors in interpolating values of surrounding pixels. Fuzzy logic theory partially solves the noise sensitivity problem associated with LBP approach, therefore; in the second part of this article, a robust method based on fuzzy logic technique was used to create Fuzzy Improved Local Binary Patterns descriptors (Fuzzy ILBPDs) for features matching purpose, after that; homography matrix will be estimated through the best associated features; in order to project the overlapped UAV images. The results of our al
gorithm maps for some benchmark and effective numerical comparisons with previous related works are presented in this paper.
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