Machine learning classification of speckle patterns for roughness measurements

[1]  Christian C. Roth,et al.  Machine Learning Classifiers for Surface Crack Detection in Fracture Experiments , 2021 .

[2]  Lioudmila Tchvialeva,et al.  Deep learning enhances polarization speckle for in vivo skin cancer detection , 2021 .

[3]  Francisco Rovira-Más,et al.  Prediction of Sugar Content in Port Wine Vintage Grapes Using Machine Learning and Hyperspectral Imaging , 2021, Processes.

[4]  Aishwaryo Ghosh,et al.  Machine learning classification of binary semiconductor heterostructures , 2021 .

[5]  H. Gould,et al.  Predicting nucleation using machine learning in the Ising model. , 2021, Physical review. E.

[6]  A. Khoury,et al.  Machine-learning recognition of light orbital-angular-momentum superpositions , 2020, 2012.00167.

[7]  A. Narayan,et al.  Machine learning non-Hermitian topological phases , 2020, 2009.06476.

[8]  J. Huguenin,et al.  Estimation of statistical properties of rough surface profiles from the Hurst exponent of speckle patterns. , 2020, Applied optics.

[9]  Zeev Zalevsky,et al.  Photonic human identification based on deep learning of back scattered laser speckle patterns. , 2019, Optics express.

[10]  Ralf Mikut,et al.  High accuracy beam splitting using spatial light modulator combined with machine learning algorithms , 2019, Optics and Lasers in Engineering.

[11]  Wiendelt Steenbergen,et al.  Clinical applications of laser speckle contrast imaging: a review , 2019, Journal of biomedical optics.

[12]  Michael Small,et al.  Synchronization of chaotic systems and their machine-learning models. , 2019, Physical review. E.

[13]  M. Alava,et al.  Predicting Creep Failure from Cracks in a Heterogeneous Material using Acoustic Emission and Speckle Imaging , 2019, Physical Review Applied.

[14]  Qian Wang,et al.  Classifying superheavy elements by machine learning , 2019, Physical Review A.

[15]  Xingzhao Liu,et al.  Imaging through scattering media using speckle pattern classification based support vector regression. , 2018, Optics express.

[16]  S. Pilati,et al.  Supervised machine learning of ultracold atoms with speckle disorder , 2018, Scientific reports.

[17]  Mauro Lomer,et al.  Machine Learning for Turning Optical Fiber Specklegram Sensor into a Spatially-Resolved Sensing System. Proof of Concept , 2018, Journal of Lightwave Technology.

[18]  W. F. Balthazar,et al.  Lacunarity study of speckle patterns produced by rough surfaces , 2017 .

[19]  A. Elmahdy,et al.  Dependence of speckle contrast on the light spectral broadening and the roughness root mean square , 2017 .

[20]  Jeff Z Y Chen,et al.  Identifying polymer states by machine learning. , 2017, Physical review. E.

[21]  J. Huguenin,et al.  Tsallis threshold analysis of digital speckle patterns generated by rough surfaces , 2015 .

[22]  Roger M Groves,et al.  Phase discontinuity predictions using a machine-learning trained kernel. , 2014, Applied optics.

[23]  Mingyue Ding,et al.  Deep learning based classification of focal liver lesions with contrast-enhanced ultrasound , 2014 .

[24]  Hans-Åke Häggblad,et al.  Evaluation of localization and failure of boron alloyed steels with different microstructure compositions , 2014 .

[25]  D. P. Caetano,et al.  Hurst exponent analysis of moving metallic surfaces , 2013 .

[26]  Virginia Palero,et al.  Possibilities and limitations of digital speckle pattern interferometry in the analysis of corrosion processes in metallic materials , 2013 .

[27]  D. P. Caetano,et al.  Fractal structure of digital speckle patterns produced by rough surfaces , 2013 .

[28]  U. Shavit,et al.  Particle tracking velocimetry and particle image velocimetry study of the slow motion of rough and smooth solid spheres in a yield-stress fluid. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  D. P. Caetano,et al.  Effect of metallic surface roughness on the speckle pattern formation at diffraction plane , 2012 .

[30]  Yan Liu,et al.  Investigation on deformation behavior of sheet metals in viscous pressure bulging based on ESPI , 2010 .

[31]  M. Holt,et al.  Dynamic fluctuations and static speckle in critical X-ray scattering from SrTiO3. , 2007, Physical review letters.

[32]  Raul R. Cordero,et al.  Monitoring the strain-rate progression of an aluminium sample undergoing tensile deformation by electronic speckle-pattern interferometry (ESPI) , 2006 .

[33]  K Wolff,et al.  Corrosion monitoring with speckle correlation. , 1999, Applied optics.

[34]  K. O'Donnell,et al.  ANGULAR CORRELATION FUNCTIONS OF LIGHT SCATTERED FROM WEAKLY ROUGH METAL SURFACES , 1999 .

[35]  Vincent Toal,et al.  Roughness measurement of metallic surfaces based on the laser speckle contrast method , 1998 .

[36]  P. L. Wong,et al.  A new optical technique for roughness measurement on moving surface , 1998 .

[37]  Thomas G. Dietterich What is machine learning? , 2020, Archives of Disease in Childhood.

[38]  M. F. Møller A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning , 1990 .

[39]  R. Bates Astronomical speckle imaging , 1982 .

[40]  O. J. Løkberg,et al.  Detection and measurement of small vibrations using electronic speckle pattern interferometry. , 1977, Applied optics.

[41]  J. Goodman Some fundamental properties of speckle , 1976 .

[42]  J. M. Burch,et al.  Recording of In-plane Surface Displacement by Double-exposure Speckle Photography , 1970 .

[43]  J. Leendertz,et al.  Interferometric displacement measurement on scattering surfaces utilizing speckle effect , 1970 .

[44]  R. Kulkarni,et al.  Surface roughness measurement based on singular value decomposition of objective speckle pattern , 2022, Optics and Lasers in Engineering.

[45]  A. Elmahdy,et al.  New analytical expression for speckle contrast of spectral light broadening , 2017 .

[46]  J. Huguenin,et al.  Hurst exponent determination for digital speckle patterns in roughness control of metallic surfaces , 2011 .

[47]  Hasan Öktem,et al.  Measurement of surface roughness of metals using binary speckle image analysis , 2010 .