13 March 2013 Research of pore structure with large area using improved octree algorithm
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Abstract
This paper presents a development of the algorithm for combination of block-merge algorithm and octree algorithm. The memory insufficiency problem, which is caused by heaps of temporary variables when researching pore structure by octree algorithm, has been effectively solved. The pore structure information of cellular metallic material with large area has been extracted, which provides an important method for the study on the relationship between the structure of porous metal material and function. By applying this method to store more data with less memory, an effective and accurate result is achieved. This work would represent a significant advance for research of pore structure using improved octree algorithm.
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Junxia Zhao, Shouhua Luo, Siyuan He, "Research of pore structure with large area using improved octree algorithm", Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87841A (13 March 2013); doi: 10.1117/12.2014022; https://doi.org/10.1117/12.2014022
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