Article or book title, author's surname, DOI

A.G. Tashlinskii

А.Г. Ташлинский

18 articles 2012–2019

2019

  1. A method for measuring the thickness of dielectric coatings on a conductive base with usage of dielectric resonator Radioengineering, No. 9, 2019 pp. 79-84
  2. The Markov chains usage in the analysis of stochastic estimation error of image inter-frame geometric deformation parameters Radioengineering, No. 9, 2019 pp. 63-68

2018

  1. Allocation of perlite grains on metallographic images of low-carbon steel Radioengineering, No. 6, 2018 pp. 33-37
  2. Image registration algorithm based on stochastic gradient optimisation of mutual information between images Radioengineering, No. 6, 2018 pp. 14-19
  3. Optimization of two images mutual information estimation Radioengineering, No. 6, 2018 pp. 9-13

2017

  1. Estimation of perlite-class steel microstructure parameters using metallographic images Radioengineering, No. 6, 2017 pp. 35-40
  2. Computational complexity of searching for a fragment pattern on an image using a variety of managed procedures Radioengineering, No. 6, 2017 pp. 8-12

2016

  1. On the use of Pearson distributions in the modeling of image registration parameters\' recursive estimation Radioengineering, No. 9, 2016 pp. 17-22
  2. Estimating the probability of absence of target fragment on image for algorithm with control of multiple search procedures Radioengineering, No. 9, 2016 pp. 6-10

2015

  1. An algorithm for time shift estimation of radio pulses received by spatially distributed sensors Radioengineering, No. 6, 2015 pp. 24-28
  2. Method for moving object area identification in image sequence Radioengineering, No. 6, 2015 pp. 5-11

2014

  1. Efficiency of stochastic gradient object identification procedure for binary images Radioengineering, No. 7, 2014 pp. 96-102
  2. Moving object-s image deploring algorithm using image sequence Radioengineering, No. 7, 2014 pp. 81-87

2013

  1. Stop criteria based on parameter convergence for stochastic gradient image registration Science Intensive Technologies, No. 5, 2013 pp. 22-25
  2. Analysis of objective functions for image distortion estimationA.G. Tashlinskii, S.V. Voronov Science Intensive Technologies, No. 5, 2013 pp. 16-21
  3. Statistical analysis of multidimensional image sequences Science Intensive Technologies, No. 5, 2013 pp. 5-11

2012

  1. Finite differences choosing for pseudogradient goal function computation in interframe image distortions estimation procedures Radioengineering, No. 9, 2012 pp. 56-60
  2. Image registration method in conditions of intensive noise Radioengineering, No. 9, 2012 pp. 45-49