XUE Dan, YUAN Wei-qi. A Long Crack Splicing Algorithm Based on Spatial Topology and Morphological Similarity Relationship[J]. Acta Electronica Sinica, 2021, 49(4): 672-678.
DOI:
XUE Dan, YUAN Wei-qi. A Long Crack Splicing Algorithm Based on Spatial Topology and Morphological Similarity Relationship[J]. Acta Electronica Sinica, 2021, 49(4): 672-678. DOI: 10.12263/DZXB.20200319.
A Long Crack Splicing Algorithm Based on Spatial Topology and Morphological Similarity Relationship
In view of the fact that the lining crack images collected from highway tunnels have overlaps and gaps
which cannot guarantee that the cracks are connected end to end and directly splicing
this paper proposes a long crack splicing algorithm based on spatial topology and morphological similarity. First
the spatial topological relationship is combined with the image point features
and a long crack connectivity feature point recognition algorithm based on RCC is proposed to automatically identify whether the cracks in adjacent images belong to the same long crack and whether there is overlap or gap; then
a crack registration algorithm based on the cosine similarity measure is used to complete the registration and splicing of the overlapping area
and the geometric calibration method is used to fill the gap and the cracks are connected end to end to complete the splicing. The algorithm has been verified in engineering applications and can automatically complete the splicing of long cracks in the gallery. The experimental results show that the integrated cost performance is superior to the feature stitching algorithm and geometric stitching algorithm in terms of precision and speed. In addition
the algorithm provides a new idea on how to splice continuous lines in multiple images.