Abstract
This paper proposes a damage estimation algorithm from cues of image changes. We get the feature map of damage area through comparing the Haar feature matrix and the LBP feature matrix by two images before and after the change. We then take the offset comparison method for fusion comparison results of different migration. At last, we get accurate location of damage detection by Gaussian filter and image morphology processing. Experimental results show that the algorithm can accurately detect the image damage area effectively, and is not too sensitive for the changes of light and color temperature. Furthermore this method does not need to establish different damage detection and evaluation models for different targets, and it can adapt to a variety of conditions of damage detection.
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Acknowledgments
This research work is supported by the grant of Guangxi science and technology development project (No: 1598018-6, AC16380124), the grant of Guangxi Key Laboratory of Cryptography & Information Security of Guilin University of Electronic Technology (No: GCIS201604), the grant of Guangxi Cooperative Innovation Center of Cloud Computing and Big Data of Guilin University of Electronic Technology (No: YD16E11), the grant of Guangxi Key Laboratory of Trusted Software of Guilin University of Electronic Technology (No: KX201513), the grant of Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics of Guilin University of Electronic Technology (No: GIIP201403), the grant of Guangxi Experiment Center of Information Science of Guilin University of Electronic Technology (No: 20140208).
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Pan, H., Ning, Y., Chen, J., Chen, X., Zhan, Y., Yang, M. (2017). Damage Estimation from Cues of Image Change. In: Tan, Y., Takagi, H., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10386. Springer, Cham. https://doi.org/10.1007/978-3-319-61833-3_43
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DOI: https://doi.org/10.1007/978-3-319-61833-3_43
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