Aiming at the problems of small speed and large memory resource
consumption for aerial images got by Unmanned Aerial Vehicle (UAV),
which caused by the high pixel, high precision and large size, a
real-time image stitching method integrating feature information
transfer and image slicing is proposed. It improves the speed of image
stitching and reduces the memory consumption in the stitching process.
The position data is used to calibrate images firstly. Then image
feature extraction is done by the Speeded Up Robust Features (SURF)
algorithm. The gradual in and out method is used for image fusion. After
each stitching is completed, the feature points of the stitched image
are no longer re-extracted, on the contrary, the feature information of
the previous image is transferred to realize continuous frame stitching.
The stitched image using N images is sliced and stored, and the system
memory is freed. The experiments are carried on real aerial images of a
certain place. The results have shown that the stitching time of each
ten images is 7.935 seconds, and the memory consumption is below 700MB
stably. The results verified that the proposed method can get good
performance in speed and memory.
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