Journal of System Simulation ›› 2016, Vol. 28 ›› Issue (9): 1985-1989.

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Fast Image Blending Using Seeded Region Growing

ZhaoYili1,2, Xu Dan1, Qian Wenhua1, Zhang Yan2   

  1. 1. School of Information, Yunnan University, Kunming 650091, China;
    2. School of Computer and Information, Southwest Forestry University, Kunming 650224, China
  • Received:2015-05-14 Revised:2015-07-24 Online:2016-09-08 Published:2020-08-14

Abstract: This paper presented a novel approach for combining and blending a set of aligned images into a composite mosaic with no visible seams. 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 using of seeded region growing over image pairs guaranteed the approximate optimal solution for each intersection region. The independence of such regions makes the algorithm suitable for parallel implementation. The proposed method is evaluated with pixel based graph cut and watershed based graph cut with qualitative and quantitative comparison.

Key words: image mosaic, watershed transform, graph cut, seeded region growing, image blending

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