Fabric defect detection based on information entropy and frequency domain saliency
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s00371-020-01820-w.pdf
Reference36 articles.
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2. Ngan, H.Y.T., Pang, G.K.H., Yung, S.P.: Automated fabric defect detection – A review. Image Vis. Comput. 29(7), 442–458 (2011)
3. Makaremi, M., Razmjooy, N., Ramezani, M.: A new method for detecting texture defects based on modified local binary pattern. Signal Image Video Process. 12(7), 1395–1401 (2018)
4. Zhang, Y., Lu, Z., Li, J.: Fabric defect classification using radial basis function network. Pattern Recognit. Lett. 31(13), 2033–2042 (2010)
5. Deng, H., Clausi, D.A.: Gaussian MRF rotation-invariant features for image classification. IEEE Trans. Pattern Anal. Mach. Intell. 26(7), 951–955 (2004)
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