Anomaly Detection of Ceramic Images Using Bag of Features

Author:

Omer Zaid T.,Abbas Amel H.

Publisher

Springer Nature Singapore

Reference8 articles.

1. Truong MTN, Kim S (2018) Automatic image thresholding using Otsu’s method and entropy weighting scheme for surface defect detection. Soft Comput 22(13):4197–4203

2. Lin B, Chen S, Han X, Liang X (2013) Automatic damage detection of engineering ceramics ground surface based on texture analysis. Trans Tianjin Univ 19(4):267–271

3. Roy ME, Whiteside LA, Ly KK, Gauvain MJ (2020) Cobalt-chromium total knee femoral components developed scratches and released metal debris in simulated wear whereas magnesia-stabilized Zirconia ceramic femoral components did not scratch or roughen. In: Orthopaedic proceedings, vol 102, No SUPP_9, pp 49–49. The British Editorial Society of Bone & Joint Surgery

4. Ammar AU, Shahid M, Ahmed MK, Khan M, Khalid A, Khan ZA (2018) Electrochemical study of polymer and ceramic-based nanocomposite coatings for corrosion protection of cast iron pipeline. Materials 11(3):332

5. Loveday D, Peterson P (2004) Evaluation of organic coatings with electrochemical impedance spectroscopy; part 1; Gamry instruments: Warminster. PA, USA

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