Page 305 - КЛАСИФІКАЦІЯ ЛОКАЛІЗОВАНИХ ДЕФЕКТІВ ЗВАРНИХ ШВІВ НА РЕНТГЕНІВСЬКИХ ЗОБРАЖЕННЯХ ТРУБ
P. 305

305

               177.      Livens S., Scheunders P., Wouwer G.V.D., Dyck D., Smets H., Winkelmans

               J.,  Bogaerts  W.  A  texture  analysis  approach  to  corrosion  image  classification.

               Microsc. Microanal. Microstruct. 1996. No 7. P. 143–152.

               178.      Bondada  V.,  Pratihar  D.K.,  Kumar  C.S.  Detection  and  quantitative

               assessment of corrosion on pipelines through image analysis. Procedia Comp. Sci.

               2018. Vol. 133. P. 804–811.

               179.      Medeiros  F.N.S.,  Ramalho  G.L.B.,  Bento  M.P.,  Medeiros  L.C.L.  On  the

               evaluation  of  texture  and  color  features  for  nondestructive  corrosion  detection

               EURASIP J. Adv. Signal Process. 2010. Article ID 817473.

               180.      Huynh C. P., Mustapha S., Runcie P., Porikli F., Multi-class support vector

               machines for paint condition assessment on the Sydney Harbour Bridge using hyper

               spectral imaging. Structural Monitoring and Maintenance. 2015. No 2. P. 181–197.

               181.      Pidiparti R. M., Hinderliter B., Maskey D. Evaluation of corrosion growth

               on SS304 based on textural and color features from image analysis. ISRN Corr. 2013.

               Article ID 376823. 7 p.

               182.      Li H., Garvan M.R., Li J., Echauz J., Brown D., Vachtsevanos G.J. Imaging

               and information processing of pitting-corroded aluminum alloy panels with surface

               metrology methods. Annual Conf. of the prognostics and health management society.

               September 19, 2014. 11 p.

               183.      Itzhak  D.,  Dinstein  I.,  Zilberberg  T.,  Pitting  corrosion  evaluation  by

               computer image processing. Corr. Sci. 1981. Vol. 21, No 1. P.17–22.

               184.      Sharma  V.,  Thind  T.  Techniques  for  detection  of  rusting  of  metals  using

               image  processing:  a  survey.  International  Journal  of  Emerging  Science  and

               Engineering. 2013. Vol. 1, No 4. P.60–62.

               185.      Liu L., Tan E., Cai Z.Q., Yin X.J., Zhen Y. CNN-based automatic coating

               Inspection  System.  Advances  in  Science,  Technology  and  Engineering  Systems

               Journal.  2018. Vol. 3, No 6. 469–478.
   300   301   302   303   304   305   306   307   308   309   310