Optimization image mosaic algorithm based on optimize Fourier - Mellin Transform

In order to deal with the problem of that conventional algorithm of mosaic needed large coincidence region for registration and different gray in coincidence region may influent quality; this paper presents an algorithm of mosaic that combing the Fourier - Mellin Transform (FMT) and the characterist...

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Bibliographic Details
Published in2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE) Vol. 2; pp. V2-18 - V2-21
Main Authors Xiao Luo, Qingsheng Luo, Baoling Han, Hao He
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2010
Subjects
characteristics of the Regional
Fourier-Mellin Transform (FMT)
Image recognition
panoramic mosaic
region overlay
Splicing
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Summary:In order to deal with the problem of that conventional algorithm of mosaic needed large coincidence region for registration and different gray in coincidence region may influent quality; this paper presents an algorithm of mosaic that combing the Fourier - Mellin Transform (FMT) and the characteristics of the Regional Detection. Firstly, the feature images are intercepted from real images for the information of shift, rotation and zoom by FMT. Then combines the location information that the feature images in panoramic image to splice image. Finally, we can mosaic image correctly in the condition of release workload. The experimental results show that algorithm can decrease the region overlay in adjacent image, on condition that ensure the stitching precision to improve splicing efficiency, while the Conventional image mosaic algorithm likes Fourier - Mellin Transform (FMT), needed above 50% coincidence region in adjacent image to realize correct mosaic.
ISBN:1424465397
9781424465392
ISSN:2154-7491
2154-7505
DOI:10.1109/ICACTE.2010.5579607