The 39 references in paper V. Kozlov L., A. Vasilchuk S., В. Козлов А., А. Васильчук С. (2015) “ПРИМЕНЕНИЕ КОРРЕЛЯЦИОННОЙ ОБРАБОТКИ ЦИФРОВЫХ ОПТИЧЕСКИХ ИЗОБРАЖЕНИЙ ДЛЯ РЕШЕНИЯ ЗАДАЧ КРИМИНАЛИСТИКИ // CORRELATION PROCESSING OF DIGITAL OPTICAL IMAGES FOR SOLVING CRIMINALISTIC PROBLEMS” / spz:neicon:pimi:y:2015:i:2:p:220-229

1
Яблоков, Н.П. Криминалистика: природа, система, методологические основы / Н.П. Яблоков, А.Ю. Головин. – М. : НОРМА, 2009. – 288 с.
(check this in PDF content)
2
Вандер, М.Б. Применение научно технических средств при расследовании преступлений. – СПб., 2000. – 60 с.
(check this in PDF content)
3
Зубаха, В.С. Видовая классификация компьютерно-технической экспертизы / В.С. Зубаха, А.И. Усов // Экспертная практика. – М. : ЭКЦ МВД РФ, 2000. – No 48.
(check this in PDF content)
4
Булгаков, В.Г. Компьютерные технологии в криминалистической фотографии / В.Г. Булгаков, С.М. Колотушкин. – Волгоград, 2000. – 164 с.
(check this in PDF content)
5
Sutton, M.A. Image Correlation for Shape, Motion and Deformation Measurements / M.A. Sutton, J.-J. Orteu, H. Schreier. – University of South Carolina, Columbia, SC, USA, 2009. – 364 p.
(check this in PDF content)
6
Thorsten, S. Crompton. Application of High Speed Digital Image Correlation for Vibration Mode Shape Analysis / S. Thorsten, J. Crompton Matt // Proceedings of the SEM Annual Conference June 7–10, 2010. – Indianapolis, Indiana USA.
(check this in PDF content)
7
Im, J. Object-based change detection using correlation image analysis and image segmentation / J. Im, J.R. Jensen, J.A. Tullis // International Journal of Remote Sensing. – Vol. 29, no. 2. – 20 January 2008. – Р. 399–423.
(check this in PDF content)
8
Okhandiara, R.R. Neighborhood correlation image analysis technique for change detection in forest landscape / R.R. Okhandiara, P.L.N. Rajub, W. Bijkerc // The International Archives of the 95 Photogrammetry, Remote Sensing and Spatial Information Sciences. – Vol. XXXVII. – Part B8. – Beijing 2008.
(check this in PDF content)
9
Бардаченко, А.Н. Особенности проведения линейных и угловых измерений следов полей нарезов на выстрелянных пулях с использованием современного микроскопического оборудования / А.Н. Бардаченко // Известия Саратовского университета. Новая серия Сер. Экономика. Управление. Право. – Т. 14, Вып. 1, ч. 2. – 2014. – С. 216–218.
(check this in PDF content)
10
Brown, Myron Z. Advances in Computational Stereo / Myron Z. Brown, Darius Burschka, Gregory D. Hager // IEEE transactions on pattern analysis and machine intelligence. – Vol. 25, no. 8. – 2003. – P. 993–1008.
(check this in PDF content)
11
Szeliski, R. Computer Vision: Algorithms and Applications / R. Szeliski // Springer. – 2010. – 957 p.
(check this in PDF content)
12
Хорн, Б. Зрение роботов. Мир / Б. Хорн. – 1989. – 487 с.
(check this in PDF content)
13
Wang, S. A stereo video segmentation algorithm combining disparity map and frame difference / S. Wang, X. Wang, H. Chen // 3rd International Conference on Intelligent System and Knowledge Engineering. – Vol. 1. – 2008. – P. 1121–1124.
(check this in PDF content)
14
Ackermann, F. Digital image correlation – performance and potential application in photogrammetry / F. Ackermann // Photogram Ree. – 1984. – Vol. 11, 64. – P. 429–439.
(check this in PDF content)
15
William, H. Press Numerical recipes in C: the art of scientific computing / H. Press William / H. William // Cambridge University Press, 2nd ed. – 1995. – 994 p.
(check this in PDF content)
16
Optical distance measurement device using image sensors for determining distance to symmetric objects: patent No5432594 US, МКИ5 G 01 C 3/00 / Kenhi Ogawa. – No 1118544; Filing Date: 26.08.1993; Issue Date: 11.07.1995.
(check this in PDF content)
17
Измеритель расстояний на цифровой фотокамере для криминалистических экспертиз: пат. 8572 Респ. Беларусь, МКИ G 01 C 3/00 / В.Л. Козлов, И.А. Мороз, А.С. Рубис. – 2012.
(check this in PDF content)
18
Козлов, В.Л. Субпиксельная обработка изображений для измерения дальности на основе цифровой фотокамеры / В.Л. Козлов, А.С. Васильчук // Приборы и методы измерений. – 2012. – No 1(4). – С. 115–120.
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Устройство для сравнения цифровых изображений оттисков печатей и штампов для криминалистических экспертиз: пат.10722 Респ. Беларусь, МКИ G 01 C 3/00 / В.Л. Козлов, А.С. Рубис, Р.М. Ропот. – 2015. Correlation processing of digital optical images for solving criminalistic problems Kozlov V.L., Vasilchuk A.S. Belarusian State University, Nezavisimosty Ave., 4, Minsk, 220030, Belarus Received 17.09.2015 Accepted for publication 30.10.2015 Abstract. The correlation processing of optical digital images of expert research objects is promising to improve the quality, reliability and representativeness of the research. The development of computer algorithms for expert investigations by using correlation analysis methods for solving such problems of criminology, as
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5. – Т. 6, No 2. – С. 220–229 For citation: Kozlov V.L., Vasilchuk A.S. Correlation processing of digital optical images for solving criminalistic problems
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