Skip to main navigation Skip to search Skip to main content

A segmentation algorithm on terahertz digital holographic image

  • Yu Tong Wang*
  • , Qi Li
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication14th National Conference on Laser Technology and Optoelectronics, LTO 2019
EditorsJianqiang Zhu, Weibiao Chen, Zhenxi Zhang, Minlin Zhong, Pu Wang, Jianrong Qiu
PublisherSPIE
ISBN (Electronic)9781510630468
DOIs
StatePublished - 2019
Event14th National Conference on Laser Technology and Optoelectronics, LTO 2019 - Shanghai, China
Duration: 17 Mar 201920 Mar 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11170
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference14th National Conference on Laser Technology and Optoelectronics, LTO 2019
Country/TerritoryChina
CityShanghai
Period17/03/1920/03/19

Keywords

  • Genetic algorithm
  • Image segmentation
  • Morphology
  • Region growing
  • Terahertz digital holography

Fingerprint

Dive into the research topics of 'A segmentation algorithm on terahertz digital holographic image'. Together they form a unique fingerprint.

Cite this