A Method for UAV’s Images Seamless Stitching

Peng Jun Li; Jian Zeng Li

doi:10.4028/www.scientific.net/AMM.556-562.5076

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562A Method for UAV’s Images Seamless Stitching

A Method for UAV’s Images Seamless Stitching

Abstract:

Image stitching is an important technology to build a panorama image by combing several images with overlapped areas. In this study, we develop a image seamless mosaic and fusion technique to obtain a prefect panorama image after stitching. At first, it is using speeded-up robust features (SURF) algorithm to extract features form the images for stitching. Then, k-nearest neighbors (KNN) method is used to match the feature points and Random sample consensus (RANSAC) algorithm is used to clear them. Thirdly, a method is improved to achieve seamless stitching based on optimal suture of the overlapped areas. Experimental results indicate that this method can eliminate cohesion gap of two stitching images very well.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

5076-5080

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.5076

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Online since:

May 2014

Authors:

Peng Jun Li*, Jian Zeng Li

Keywords:

Image Fusion, Image Stitching, SURF, UAV

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