Paper
17 May 2019 A segmentation algorithm on terahertz digital holographic image
Author Affiliations +
Proceedings Volume 11170, 14th National Conference on Laser Technology and Optoelectronics (LTO 2019); 111701B (2019) https://doi.org/10.1117/12.2533025
Event: Fourteenth National Conference on Laser Technology and Optoelectronics, 2019, Shanghai, China
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.
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Yu-Tong Wang and Qi Li "A segmentation algorithm on terahertz digital holographic image", Proc. SPIE 11170, 14th National Conference on Laser Technology and Optoelectronics (LTO 2019), 111701B (17 May 2019); https://doi.org/10.1117/12.2533025
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KEYWORDS
Image segmentation

Digital holography

Image processing algorithms and systems

Genetic algorithms

Image filtering

Digital imaging

Image processing

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