Focus measure of tunnel images
- Authors
- Jeong, Hea In; Jeong, Young Ju
- Issue Date
- Sep-2020
- Publisher
- ICIC International
- Keywords
- Autofocus; Focus measure; Image processing; Sharpness measure
- Citation
- ICIC Express Letters, Part B: Applications, v.11, no.9, pp 875 - 880
- Pages
- 6
- Journal Title
- ICIC Express Letters, Part B: Applications
- Volume
- 11
- Number
- 9
- Start Page
- 875
- End Page
- 880
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/1229
- DOI
- 10.24507/icicelb.11.09.875
- ISSN
- 2185-2766
- Abstract
- The features of tunnels hinder distinguishing in-focus photographs taken in tunnels. Focused tunnel images are required for extracting meaningful information about tunnels such as cracks. In this paper, we propose a new focus algorithm induced by commonly used algorithms and suggest a pre-processing phase. The effectiveness of the suggestion is proven by the experimental results from actual tunnel images. © 2020 ICIC International.
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