Cited By
View all- Rodrigues Ida Silva Neto SKelner JSadok DEndo P(2021)Convolutional Extreme Learning Machines: A Systematic ReviewInformatics10.3390/informatics80200338:2(33)Online publication date: 13-May-2021
Aluminum Foil Packaging Sealing Testing Method Based on Gabor Wavelet and ELM Neural Network
Pages 59 - 63
Abstract
In this paper, we study aluminum foil sealing temperature field distribution characteristics.we propose a secondary feature extraction and reduction algorithm based on RGB. The color features are extracted from the three primary colors and the thermal image samples are trained and classified by BP neural network. Aiming at the shortcomings of this method, this paper proposed a aluminum foil sealing test method by using Gabor wavelet to extract image texture features combined with ELM limit learning machine to training, classify and recognize the thermal image. Compare the training time and accuracy of the two training samples and test samples, and verify the superiority of the algorithm. Experimental results show that the algorithm based on Gabor wavelet and ELM neural network has the advantages of fast response, high precision and strong generalization, which can meet the requirements of aluminum foil sealing test.
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Index Terms
- Aluminum Foil Packaging Sealing Testing Method Based on Gabor Wavelet and ELM Neural Network
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Published In
June 2018
261 pages
ISBN:9781450364607
DOI:10.1145/3239576
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- University of Electronic Science and Technology of China: University of Electronic Science and Technology of China
- Southwest Jiaotong University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 16 June 2018
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ICAIP '18
ICAIP '18: 2018 the 2nd International Conference on Advances in Image Processing
June 16 - 18, 2018
Chengdu, China
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View all- Rodrigues Ida Silva Neto SKelner JSadok DEndo P(2021)Convolutional Extreme Learning Machines: A Systematic ReviewInformatics10.3390/informatics80200338:2(33)Online publication date: 13-May-2021
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