Scientific and Technical Journal

ELECTROTECHNIC AND COMPUTER SYSTEMS

ISSN Print 2221-3937
ISSN Online 2221-3805
RESEARCH SUBJECT DEFINITION IN THE PROBLEM OF GT–OBJECTS AUTOMATIC SEGMENTATION ON ATOMIC ELEMENTS SET
Abstract:
Research subject in the problem of GT-objects automatic segmentation on atomic elements set has been defined, it lets develop new approach to free structure digital binary images modeling and segmentation. Approach is based on image fragments detection, characterized by local-global direction persistence of the track fixation device, using cover elements.
Authors:
Keywords
DOI
References
  1. Vernon D. Machine Vision. Automated Visual Inspection and Robot Vision [Text] / D. Vernon, W., Prentice Hall International (UK) Ltd., 1991, 260 p. (In English).

  2. Gonsales R. and Vuds R. Digital Image Processing [Tsifrovaya obrabotka izo-brazhenii] per. s angl, Tekhnosfera, Moscow, Russian Federation, 2005, 1072 p. (In Russian).

  3. Mel'nik A.-V.V., Myshko S.V. and Shevtsov D.V. GT-modeling Properties of the Object on a Discrete set of Atomic Elements [Modeliruemost' GT-ob"ekta na diskretnom mnozhestve ato-marnykh elementov],Vіsnik KhNTU, No 4 (33), Kherson, Ukraine, 2008, pp. 140-146 (In Russian).

  4. Mel'nik A.-V.V., Myshko S. V. and Shevtsov D.V. Skeletonization Problem in the Design of the Recognition of Digital Images [Problema skeletizatsii pri proektirovanii sistem raspoznavaniya tsifrovykh izobrazhenii], Vestnik Donetskogo natsional'nogo universiteta. Seriyal A. Estestvennye nauk, DonNU, Donetsk, Ukraine, 2008, No 8, pp. 502-509 (In Russian).

  5. Mel'nik A.-V.V., Myshko S.V. and Shevtsov D.V. Method of Forming Images of Objects GT-images on the set of Atomic Elements [Sposob formirovaniya GT-ob"ektov obrazov izobrazhenii na mnozhestve atomarnykh elementov, Trudy Vostochno natsional'nogo universiteta imeni Vladimira Dalya, Lugansk, Ukraine, 2009, Vypusk 18, pp. 14-18 (In Russian).

  6. Myshko S.V. and Shevtsov D.V. Modeling and Identification Signs Planimetric Images of Objects on a Discrete set of Atomic Elements: the Manual [Modelirovanie i opoznavanie znakov izobrazhenii planimetricheskikh ob"ektov na diskretnom mnozhestve atomarnykh elementov] uchebnoe posobie, Donetskii natsional'nyi universitet, Donetsk, Ukraine, 2006, 45 p. (In Russian).

  7. Myshko S.V. and Shevtsov D.V. The Basic Theoretical Concepts of Modeling Character Image to be Recognized in Intelligent Robotic Systems: the Manual [Osnovnye teoreticheskie polozheniya modelirovaniya znakov izobrazhenii, podlezhashchikh raspoznavaniyu v intellektual'nykh robototekhnicheskikh sistemakh] uchebnoe posobie Donetskii natsional'nyi universitet, Donetsk, Ukraine, 2006, 75 p. (In Russian).

  8. Myshko S.V., Shevtsuk E. V. and Shevtsov D.V. Modeling Elementary Signs Strategies [Modelirovanie znakov elementarnymi strategiyami], Vychislitel'naya tekhnika v informatsionnykh i upravlyayushchikh sistemakh, 1-ya mezhdunarodnaya nauchno-prakticheskaya konferentsiya, Permskii gosudarstvennyi tekhnicheskii universitet, Mariupol', Ukraine, 2000, pp. 79- 80 (In Russian).

  9. Serra J. Image Analysis and Mathematical Morphology, Ac. Press, London, 1982, Vol. I, 610 p. (In English).
  10. Sopin S.A. and Shevtsov D.V On a Method of Automatic Identification and Modeling of Image Fragments Signs of an Arbitrary Nature [K voprosu o razrabotke sposoba avtomaticheskogo vyyavleniya i modelirovaniya fragmentov znakov izobrazhenii proizvol'noi prirody], Vestnik Khersonskogo natsional'nogo tekhnicheskogo universiteta, Kherson, Ukraine, 2012, No 1 (44), pp. 312-319 (In Russian).
  11. Fu K., Gonsales R. and Li K. Robotics [Robototekhnika] per. s angl. Mir, Moscow, Russian Federation, 1989, 624 p. (In Russian).
  12. Horn B.K.P. Robot Vision, Mir, Moscow, Russian Federation, 1989, 487 p. (In Russian).
  13. Shevchuk E.V. and Kotvinskii V.V. Modeling of Characters on the Arbitrary Nature of Discrete Sets for Their Further Identification [Modelirovanie znakov proizvol'noi prirody na diskretnykh mnozhestvakh s tsel'yu ikh dal'neishego opoznavaniya], «GrafiKon’2002», 12-ya Mezhdunarodnaya konferentsiya po komp'yuternoi grafike i mashinnomu zreniyu, Nizhnii Novgorod, Russian Federation, 2002, pp. 268-272 (In Russian).
  14. Shevchuk E.V. Development of a Method of Modeling Arbitrary Nature of Signs on Discrete Sets [Razrabotka metoda modelirovaniya znakov proizvol'noi prirody na diskretnykh mnozhestvakh], «Avtomatika-2002», mezhdunarodnaya konferentsiya, Donetskii natsional'nyi tekhnicheskii universitet, Donetsk, Ukraine, 2002, pp. 172-175 (In Russian).
  15. Peng Y., Liu F. and LiuS. A Normalized Local Binary Fitting Model for Image Segmentation, 4-th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2012(In English), doi: 10.1109/iNCoS.2012.119.
  16. Song J.a.b., Wang L.a. and Wang W.a. Eyebrow Segmentation Based on Binary Edge Image, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7389 LNCS, 2012, pp. 350-356(In English), doi: 10.1007/978-3-642-31588-6_45, url: http://sci-hub.org/pdfcache/cdcb4a40bf bf81bc31aacdfcda3254ba.pdf.  
  17. Mtimet J. and Amiri H. A Layer-Based Segmentation Method for Compound Images, 10-th International Multi-Conference on Systems, Signals and Devices, SSD 2013, art. no. 6564005 (In English), doi: 10.1109/SSD.2013.6564005, url: http://libgen.org/scimag5/10.1109/SSD .2013.6564005.pdf. 
Published:
Last download:
2017-11-16 11:47:56

[ © KarelWintersky ] [ All articles ] [ All authors ]
[ © Odessa National Polytechnic University, 2014. Any use of information from the site is possible only under the condition that the source link! ]
Яндекс.Метрика