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Proceedings Paper

A segmentation algorithm on terahertz digital holographic image
Author(s): Yu-Tong Wang; Qi Li
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Paper Abstract

It is necessary to study the image segmentation of terahertz digital holographic reconstructed images because of the boundary blurring problem. In this paper, a segmentation algorithm based on the region growth is proposed for terahertz digital holographic images. Firstly, the original image is bilaterally filtered and the morphological erosion operation is carried out to obtain the seeds of region growing. Secondly, the genetic algorithm is used to optimize threshold for restricting region growth. Finally, the segmentation results are obtained, and the average structural similarity (MSSIM) is used as an objective evaluation to measure effectiveness of the algorithm. The segmentation results show that the algorithm has a good segmentation effect, and the MSSIM can reach above 0.9.

Paper Details

Date Published: 17 May 2019
PDF: 6 pages
Proc. SPIE 11170, 14th National Conference on Laser Technology and Optoelectronics (LTO 2019), 111701B (17 May 2019); doi: 10.1117/12.2533025
Show Author Affiliations
Yu-Tong Wang, Harbin Institute of Technology (China)
Qi Li, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 11170:
14th National Conference on Laser Technology and Optoelectronics (LTO 2019)
Jianqiang Zhu; Weibiao Chen; Zhenxi Zhang; Minlin Zhong; Pu Wang; Jianrong Qiu, Editor(s)

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