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Focus measure of tunnel images

Authors
Jeong, Hea InJeong, 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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공과대학 (소프트웨어학부(첨단))
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