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@article{bb181008,
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@article{bb181013,
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@inproceedings{bb181019,
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@article{bb181032,
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@article{bb181037,
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@article{bb181039,
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@article{bb181040,
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@article{bb181043,
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@inproceedings{bb181045,
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@article{bb181046,
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@article{bb181047,
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@article{bb181048,
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@article{bb181049,
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@article{bb181050,
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@article{bb181051,
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@article{bb181052,
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@article{bb181053,
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@article{bb181054,
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@article{bb181055,
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@article{bb181056,
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@inproceedings{bb181066,
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Forensic Toolmark Images",
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@article{bb181067,
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@article{bb181068,
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rectangular forgings based on projection feature lines",
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@article{bb181069,
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        NUMBER = "3",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/applicat839.html#TT176390"}

@article{bb181070,
        AUTHOR = "Paul, A. and Gangopadhyay, A. and Chintha, A.R. and Mukherjee, D.P. and Das, P. and Kundu, S.",
        TITLE = "Calculation of phase fraction in steel microstructure images using
random forest classifier",
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        MONTH = "August",
        PAGES = "1370-1377",
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@article{bb181071,
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@article{bb181072,
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        AUTHOR = "Han, L. and Li, S.J. and Liu, X.P. and Guo, J.",
        TITLE = "Online burr video denoising by learning sparsifying transform",
        JOURNAL = IET-IPR,
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@article{bb181074,
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microstructure images",
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for surface inspection of hot rolled steels",
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@inproceedings{bb181081,
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@inproceedings{bb181089,
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@inproceedings{bb181090,
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@inproceedings{bb181091,
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@inproceedings{bb181092,
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@inproceedings{bb181094,
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@inproceedings{bb181095,
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@inproceedings{bb181096,
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@inproceedings{bb181099,
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