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Optimized design of automatic image mosaic

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Abstract

Virtual reality technology has been widely used in the fields of aerospace, robotics remote operation and biology medicine and so on. Panoramic image mosaic is one of the very important parts. Since photographs taken by the ordinary camera may appear distorted, overlapping and tilting, we propose a wide mosaic algorithm used in the projection transformation in this paper. The algorithm first uses the Harris operator to extract corners, adopting the improved corner response function for avoiding the randomness of k value. Then fast RANSAC method is used to match the images approximately, and the cross-correlation method of gray window as the center of feature points is used to the redundant feature points for further exact match. And then it need solve the model transformation parameters between two images according to these corners information and obtain the projection transformation matrix. Finally, the application of image morphing technique is for reconstructing the image having spatial transform, the result of which are carried on stitching seamlessly with another source image. Experimental results show that the algorithm is effective to achieve a good mosaic.

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Acknowledgements

Authors like to express their thanks to anonymous reviewers for their help in revising the manuscript. This work is supported in part by the Natural Science Foundation of China (NSFC) under Grant No. 61071193.

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Authors and Affiliations

  1. Science and Technology on Electronic Test & Measurement Laboratory and Key Laboratory of Instrumentation Science & Dynamic Measurement(Ministry of Education), Information and communication engineering institute, North University of China, Taiyuan, 030051, China

    Zhaoxia Fu & Liming Wang

  2. Party school of shanxi provincial committee of the C.P.C, Taiyuan, 030006, China

    Zhaoxia Fu

Authors
  1. Zhaoxia Fu
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  2. Liming Wang
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Correspondence to Zhaoxia Fu.

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Fu, Z., Wang, L. Optimized design of automatic image mosaic. Multimed Tools Appl 72, 503–514 (2014). https://doi.org/10.1007/s11042-013-1387-y

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  • DOI: https://doi.org/10.1007/s11042-013-1387-y

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