Abstract
This paper presents a novel approach for combining and blending a set of aligned images into a composite mosaic with no visible seams and minimal texture distortion. To accelerate execution speed in building high resolution mosaics, the compositing seam is found efficiently via seeded region growing using a photometric criterion. A contribution of this paper is to use seeded region growing on image differences to find possible seams over areas of low photometric difference. This can result in significant reduction of blending time. The proposed method presents several advantages. The using of seeded region growing over image pairs guarantees the approximate optimal solution for each intersection region. The independence of such regions makes the algorithm suitable for parallel implementation. The using of priority queue leads to reduced memory requirements and a compact storage of the input data. Finally, it allows the efficient creation of large mosaics, without user intervention. We also evaluate the proposed blending method with pixel based graph cut and watershed based graph cut to illustrate the performance of the approach on image sequences with qualitative and quantitative comparison.
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Zhao, Y., Xu, D. (2015). Fast Image Blending Using Seeded Region Growing. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_45
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DOI: https://doi.org/10.1007/978-3-662-47791-5_45
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