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Article

A Dark Target Detection Method Based on the Adjacency Effect: A Case Study on Crack Detection

by 1, 1,* and 2
1
School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
2
China Energy Engineering Group Guangdong Electric Power Design Institute Company Limited, Guangzhou 510700, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(12), 2829; https://doi.org/10.3390/s19122829
Received: 26 April 2019 / Revised: 14 June 2019 / Accepted: 21 June 2019 / Published: 25 June 2019
(This article belongs to the Special Issue Advance and Applications of RGB Sensors)
Dark target detection is important for engineering applications but the existing methods do not consider the imaging environment of dark targets, such as the adjacency effect. The adjacency effect will affect the quantitative applications of remote sensing, especially for high contrast images and images with ever-increasing resolution. Further, most studies have focused on how to eliminate the adjacency effect and there is almost no research about the application of the adjacency effect. However, the adjacency effect leads to some unique characteristics for the dark target surrounded by a bright background. This paper utilizes these characteristics to assist in the detection of the dark object, and the low-high threshold detection strategy and the adaptive threshold selection method under the assumption of Gaussian distribution are designed. Meanwhile, preliminary case experiments are carried out on the crack detection of concrete slope protection. Finally, the experiment results show that it is feasible to utilize the adjacency effect for dark target detection. View Full-Text
Keywords: dark target detection; the adjacency effect; low-high threshold strategy; Gaussian distribution dark target detection; the adjacency effect; low-high threshold strategy; Gaussian distribution
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MDPI and ACS Style

Yu, L.; Tian, Y.; Wu, W. A Dark Target Detection Method Based on the Adjacency Effect: A Case Study on Crack Detection. Sensors 2019, 19, 2829. https://doi.org/10.3390/s19122829

AMA Style

Yu L, Tian Y, Wu W. A Dark Target Detection Method Based on the Adjacency Effect: A Case Study on Crack Detection. Sensors. 2019; 19(12):2829. https://doi.org/10.3390/s19122829

Chicago/Turabian Style

Yu, Li, Yugang Tian, and Wei Wu. 2019. "A Dark Target Detection Method Based on the Adjacency Effect: A Case Study on Crack Detection" Sensors 19, no. 12: 2829. https://doi.org/10.3390/s19122829

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