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@inproceedings{bb227003,
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@inproceedings{bb227007,
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@inproceedings{bb227008,
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@inproceedings{bb227009,
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@inproceedings{bb227010,
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@inproceedings{bb227011,
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@inproceedings{bb227012,
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@inproceedings{bb227013,
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@inproceedings{bb227014,
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@inproceedings{bb227017,
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@inproceedings{bb227023,
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@inproceedings{bb227065,
        AUTHOR = "Tsai, D.M. and Tseng, Y.H. and Chao, S.M. and Yen, C.H.",
        TITLE = "Independent component analysis based filter design for defect detection
in low-contrast textured images",
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@article{bb227066,
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component analysis",
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@article{bb227067,
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        TITLE = "1D-based defect detection in patterned TFT-LCD panels using
characteristic fractal dimension and correlations",
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@inproceedings{bb227068,
        AUTHOR = "Chao, S.M. and Tsai, D.M. and Chiu, W.Y. and Li, W.C.",
        TITLE = "Anisotropic diffusion-based detail-preserving smoothing for image
restoration",
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@inproceedings{bb227069,
        AUTHOR = "Chao, S.M. and Tsai, D.M. and Li, W.C. and Chiu, W.Y.",
        TITLE = "A Generalized Anisotropic Diffusion for Defect Detection in
Low-Contrast Surfaces",
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@article{bb227070,
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@article{bb227071,
        AUTHOR = "de Vitis, G.A. and Foglia, P. and Prete, C.A.",
        TITLE = "Row-level algorithm to improve real-time performance of glass tube
defect detection in the production phase",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/applicat845gla2.html#TT222057"}

@article{bb227072,
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        TITLE = "Automatic defect inspection system for beer bottles based on deep
residual learning",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/applicat845gla2.html#TT222058"}

@article{bb227073,
        AUTHOR = "de Vitis, G.A. and Foglia, P. and Prete, C.A.",
        TITLE = "A pre-processing technique to decrease inspection time in glass tube
production lines",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/applicat845gla2.html#TT222059"}

@article{bb227074,
        AUTHOR = "Wang, Y.Q. and Yue, S.H. and Chen, J. and Li, Q.",
        TITLE = "Segmentation and classification of ground glass nodule on CT images",
        JOURNAL = IJIST,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/applicat845gla2.html#TT222060"}

@article{bb227075,
        AUTHOR = "Mei, H.Y. and Yang, X. and Yu, L. and Zhang, Q. and Wei, X.P. and Lau, R.W.H.",
        TITLE = "Large-Field Contextual Feature Learning for Glass Detection",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/applicat845gla2.html#TT222061"}

@article{bb227076,
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        TITLE = "Glass Segmentation With RGB-Thermal Image Pairs",
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@inproceedings{bb227077,
        AUTHOR = "Lin, J.Y. and He, Z. and Lau, R.W.H.",
        TITLE = "Rich Context Aggregation with Reflection Prior for Glass Surface
Detection",
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@inproceedings{bb227078,
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Simulated Caustic Images",
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@inproceedings{bb227079,
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@inproceedings{bb227080,
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@article{bb227091,
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@article{bb227092,
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using percolation-based image processing",
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@inproceedings{bb227093,
        AUTHOR = "Yamaguchi, T. and Hashimoto, S.",
        TITLE = "Improved percolation-based method for crack detection in concrete
surface images",
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@article{bb227094,
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@article{bb227095,
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@article{bb227096,
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        TITLE = "Asphalt Concrete Surfaces Macrotexture Determination From Still Images",
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@article{bb227097,
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images",
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@article{bb227098,
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@article{bb227099,
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Type L-band Synthetic Aperture Radar (PALSAR)",
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