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Proceedings Paper

Image seam line method based on the combination of dijkstra algorithm and morphology
Author(s): Daizhi Kuang; Qiming Yan; Yunju Nie; Shengfeng Feng; Jiancheng Li
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Paper Abstract

This paper proposes a method of image seam line based on the combination of Dijkstra algorithm and morphology. First, the method determines the differential images of the overlap part of two images. And then, morphological expansion processing is implemented based on the differential images and the eight-neighborhood sparse matrix is constructed according to the sparse matrix. Finally, the seam line with the optimal path can be obtained by automatic search of seam line on the differential images by Dijkstra algorithm. The experimental results show that compared to the Dijkstra method that is not subject to morphological processing, the improved algorithm can avoid the high brightness area as housing under the circumstance of less time (3.72s) in the process of automatic research seam line.

Paper Details

Date Published: 3 December 2015
PDF: 7 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941R (3 December 2015); doi: 10.1117/12.2203544
Show Author Affiliations
Daizhi Kuang, Quanzhou Normal Univ. (China)
Qiming Yan, Yichun Real Estate Management Bureau (China)
Yunju Nie, East China Institute of Technology (China)
Shengfeng Feng, East China Institute of Technology (China)
Jiancheng Li, Quanzhou Normal Univ. (China)


Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

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