期刊
IMAGE ANALYSIS AND PROCESSING - ICIAP 2019, PT II
卷 11752, 期 -, 页码 148-158出版社
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-030-30645-8_14
关键词
Thinning; Skeletonization; Optimization; Decision trees; Binary image processing
In this paper we propose a strategy to optimize the performance of thinning algorithms. This solution is obtained by combining three proven strategies for binary images neighborhood exploration, namely modeling the problem with an optimal decision tree, reusing pixels from the previous step of the algorithm, and reducing the code footprint by means of Directed Rooted Acyclic Graphs. A complete and open-source benchmarking suite is also provided. Experimental results confirm that the proposed algorithms clearly outperform classical implementations.
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