Research of pore structure with large area using improved octree algorithm

Junxia Zhao; Shouhua Luo; Siyuan He

doi:10.1117/12.2014022

13 March 2013 Research of pore structure with large area using improved octree algorithm

Junxia Zhao, Shouhua Luo, Siyuan He

Proceedings Volume 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies; 87841A (2013) https://doi.org/10.1117/12.2014022
Event: Fifth International Conference on Machine Vision (ICMV 12), 2012, Wuhan, China

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.

Citation Download Citation

Junxia Zhao, Shouhua Luo, and 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); https://doi.org/10.1117/12.2014022

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