Journal of System Simulation
Abstract
Abstract: Aiming at the burr phenomenon and skeleton redundancy in current image skeleton extraction, a method based on flood-fill is proposed. The target image is pre-processed to obtain a threshold binary image and the foreground and background are segmented. A mask image and axis map are constructed to provide data sources and judgment basis for the subsequent calculation process. The diffusing water process is simulated by traversing the horizontal grayscale histogram. The foreground contour of the mask image is shrinked. According to the change of the connected components of the neighborhood, a skeleton feature point is determined . When the contour shrinking is finished, the image skeleton is obtained. The experimental results show that the method can effectively extract the image skeleton, the burr phenomenon and redundant structure are significantly reduced, and the execution speed is fast.
Recommended Citation
Cai, Xingquan; Yang, Zhe; Cai, Runbo; Ge, Yakun; and Bo, Yang
(2020)
"Image Skeleton Extraction Method Based on Flood-Fill,"
Journal of System Simulation: Vol. 32:
Iss.
8, Article 5.
DOI: 10.16182/j.issn1004731x.joss.19-VR0443
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss8/5
First Page
1455
Revised Date
2019-11-14
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-VR0443
Last Page
1464
CLC
TP391.9
Recommended Citation
Cai Xingquan, Yang Zhe, Cai Runbo, Ge Yakun, Yang Bo. Image Skeleton Extraction Method Based on Flood-Fill[J]. Journal of System Simulation, 2020, 32(8): 1455-1464.
DOI
10.16182/j.issn1004731x.joss.19-VR0443
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