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10 August 2023 Blurred image recognition based on GLCM
Yan Li, Jinqiao Du, Yong Yi, Jie Tian, Zijun Liu, Yuhuan Li, Fan Yang
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Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127480H (2023) https://doi.org/10.1117/12.2689441
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China
Abstract
With the development of artificial intelligence, the fault detection of substations has changed from manual to artificial intelligence detection. The higher the image quality, the better the recognition accuracy of the model, but when the inspection image is acquired, transmitted and saved, it is usually affected by bad weather, relative motion, imaging equipment shaking and other factors, which makes the acquired image blurry. Therefore, a fuzzy image screening model is constructed to screen and remove blurred images. In this paper, the grayscale co-occurrence matrix is used to extract the characteristics of the texture feature information of the image, extract the four feature values of the image, take the feature values as the input of the MLP neural network, and use the TID2013 dataset for the training dataset, and finally realize the quality scoring and screening of the blurred image.
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Citation Download Citation
Yan Li, Jinqiao Du, Yong Yi, Jie Tian, Zijun Liu, Yuhuan Li, and Fan Yang "Blurred image recognition based on GLCM", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127480H (10 August 2023); https://doi.org/10.1117/12.2689441
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KEYWORDS
Image quality
Cooccurrence matrices
Image processing
Image transmission
Education and training
Detection and tracking algorithms
Feature extraction
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