| DC Field | Value | Language |
|---|
| dc.contributor.author | Hrytsyk, V. V. | |
| dc.coverage.temporal | 25-27 June 2018 | |
| dc.date.accessioned | 2018-09-03T11:41:13Z | - |
| dc.date.available | 2018-09-03T11:41:13Z | - |
| dc.date.created | 2018-06-25 | |
| dc.date.issued | 2018-06-25 | |
| dc.identifier.citation | Hrytsyk V. V. Study methods of image segmentation for intelligent surveillance systems / V. V. Hrytsyk // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 171–176. — (Section II. Intelligent Systems). | |
| dc.identifier.issn | 2523-4013 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/42565 | - |
| dc.description.abstract | The research of the machine-machine interface element is presented
for the possibility of dynamic adaptation to improve the perception of the very
least environment by developing a technique for adapting the robovision. The
study include comparing between different threshold methods of segmentation
of images of different categories. | |
| dc.format.extent | 171-176 | |
| dc.language.iso | en | |
| dc.publisher | Lviv Polytechnic National University | |
| dc.relation.ispartof | Computational linguistics and intelligent systems (2), 2018 | |
| dc.relation.uri | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3656801/ | |
| dc.subject | image segmentation | |
| dc.subject | thresholds | |
| dc.subject | future robots | |
| dc.title | Study methods of image segmentation for intelligent surveillance systems | |
| dc.type | Conference Abstract | |
| dc.rights.holder | © 2018 for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors. | |
| dc.contributor.affiliation | Lviv Polytechnic National University, Lviv, Ukraine | |
| dc.format.pages | 6 | |
| dc.identifier.citationen | Hrytsyk V. V. Study methods of image segmentation for intelligent surveillance systems / V. V. Hrytsyk // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 171–176. — (Section II. Intelligent Systems). | |
| dc.relation.references | 1. Грицик В. В. Оцінка якості передавання і комп’ютерна обробка даних образів / Грицик В. В. // Доповіді НАН України. – 2008. – № 9 : Інформатика та кібернетика. – С. 43-48. | |
| dc.relation.references | 2. Audio-visual answer to modern computing. – research*eu results supplement. - №26. – July/August 2010. – 31-32p. | |
| dc.relation.references | 3. Мічо Кайку. Фізика майбутнього / переклала з англ.. Анжела Кам’янець. – Львів: Літопис. – 2013. – 432. | |
| dc.relation.references | 4. Software: running commentary for smarter surveillance? .- Reasearch*eu results supplement. – №24. – May 2010. – P.29 | |
| dc.relation.references | 5. V. Hrytsyk, A. Grondzal, A. Bilenkyj,. Augmented reality for people with disabilities // Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT’2015. | |
| dc.relation.references | 6. Validation of various adaptive threshold methods of segmentation applied to follicular lymphoma digital images stained with 3,3’-Diaminobenzidine&Haematoxylin. Published online 2013 Mar 25. Режим доступу: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3656801/ | |
| dc.relation.references | 7. Sauvola J, Pietikainen M. Adaptive document image binarization. Patt Recognit. 2000;33(2):225–236. doi: 10.1016/S0031-3203(99)00055-2. [] Sauvola J, Pietikainen M.Adaptive document image binarization. Patt Recognit. 2000;33(2):225–236. doi: 10.1016/S0031-3203(99)00055-2. [ Robots of tomorrow with intelligent visual capabilities. research results magazine. - №62. – May 2017. – 38p. | |
| dc.relation.references | 8. Mehmet Sezgin, Bulent Sankur. Journal of Electronic Imaging 13(1), 146–165 (January 2004).- Survey over image thresholding techniques and quantitative performance evaluation | |
| dc.relation.references | 9. Zack, G.W., W.E. Rogers, and S.A. Latt, Automatic Measurement of Sister Chromatid Exchange Frequency. 1977. 25(7): p. 741-753. | |
| dc.relation.references | 10. Dronyuk, I.Development of printed packaging protection technology by means of background nets // Dronyuk, I., Nazarkevych, M. – Experience of Designing and Application of CAD Systems in Microelectronics - Proceedings of the 10th International Conference, CADSM 20092009, Article number 4839864, Pages 401-403. | |
| dc.relation.references | 11. Cutting-edge facial recognition goes mainstream. – Reasearch*eu results magazine. – №68. – December 2017-January 2018. – P.39 | |
| dc.relation.referencesen | 1. Hrytsyk V. V. Otsinka yakosti peredavannia i kompiuterna obrobka danykh obraziv, Hrytsyk V. V., Dopovidi NAN Ukrainy, 2008, No 9 : Informatyka ta kibernetyka, P. 43-48. | |
| dc.relation.referencesen | 2. Audio-visual answer to modern computing, research*eu results supplement, No 26, July/August 2010, 31-32p. | |
| dc.relation.referencesen | 3. Micho Kaiku. Fizyka maibutnoho, pereklala z anhl.. Anzhela Kamianets, Lviv: Litopys, 2013, 432. | |
| dc.relation.referencesen | 4. Software: running commentary for smarter surveillance? , Reasearch*eu results supplement, No 24, May 2010, P.29 | |
| dc.relation.referencesen | 5. V. Hrytsyk, A. Grondzal, A. Bilenkyj,. Augmented reality for people with disabilities, Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT’2015. | |
| dc.relation.referencesen | 6. Validation of various adaptive threshold methods of segmentation applied to follicular lymphoma digital images stained with 3,3’-Diaminobenzidine&Haematoxylin. Published online 2013 Mar 25. Access mode: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3656801/ | |
| dc.relation.referencesen | 7. Sauvola J, Pietikainen M. Adaptive document image binarization. Patt Recognit. 2000;33(2):225–236. doi: 10.1016/S0031-3203(99)00055-2. [] Sauvola J, Pietikainen M.Adaptive document image binarization. Patt Recognit. 2000;33(2):225–236. doi: 10.1016/S0031-3203(99)00055-2. [ Robots of tomorrow with intelligent visual capabilities. research results magazine, No 62, May 2017, 38p. | |
| dc.relation.referencesen | 8. Mehmet Sezgin, Bulent Sankur. Journal of Electronic Imaging 13(1), 146–165 (January 2004), Survey over image thresholding techniques and quantitative performance evaluation | |
| dc.relation.referencesen | 9. Zack, G.W., W.E. Rogers, and S.A. Latt, Automatic Measurement of Sister Chromatid Exchange Frequency. 1977. 25(7): p. 741-753. | |
| dc.relation.referencesen | 10. Dronyuk, I.Development of printed packaging protection technology by means of background nets, Dronyuk, I., Nazarkevych, M, Experience of Designing and Application of CAD Systems in Microelectronics - Proceedings of the 10th International Conference, CADSM 20092009, Article number 4839864, Pages 401-403. | |
| dc.relation.referencesen | 11. Cutting-edge facial recognition goes mainstream, Reasearch*eu results magazine, No 68, December 2017-January 2018, P.39 | |
| dc.citation.spage | 171 | |
| dc.citation.epage | 176 | |
| dc.coverage.placename | Lviv | |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2018 р.
|
