Tytuł artykułuPseudo Bayesian and Linear Regression Global Thresholding
Tytuł czasopismaInternational Journal of Electronics and Telecommunications
Wydział PANNauki Techniczne
International Journal of Electronics and Telecommunications (IJET, eISSN 2300-1933, untill 2013 also print ISSN 2081-8491) is a periodical of Electronics and Telecommunications Committee of Polish Academy of Sciences and it is published by Warsaw Science Publishers of PAS. It continues tradition of the Electronics and Telecommunications Quarterly (ISSN 0867-6747) established in 1955 as the Rozprawy Elektrotechniczne. The IJET is a scientific periodical where papers present the results of original, theoretical, experimental and reviewed works. They consider widely recognized aspects of modern electronics, telecommunications, microelectronics, optoelectronics, radioelectronics and medical electronics.
The authors are outstanding scientists, well‐known experienced specialists as well as young researchers – mainly candidates for a doctor's degree. The papers present original approaches to problems, interesting research results, critical estimation of theories and methods, discuss current state or progress in a given branch of technology and describe development prospects. All the papers published in IJET are reviewed by international specialists who ensure that the publications are recognized as author's scientific output.
The printed periodical is distributed among all those who deal with electronics and telecommunications in national scientific centers as well as in numeral foreign institutions, and it is subscribed by many specialists and libraries. Its electronic version is available at http://ijet.pl.
The papers received are published within half a year if the cooperation between author and the editorial staff is efficient. The papers may be submitted to the editorial office by the journal web page http://ijet.pl.
WydawcaPolish Academy of Sciences Committee of Electronics and Telecommunications
IdentyfikatorISSN 2081-8491 (until 2012) ; eISSN 2300-1933 (since 2013)
ReferencjeKolmogorov A. (1933), Grundbegriffe der Wahrscheinlichkeitsrechnung. ; Condurache A. (2005), Vessel segmentation in angiograms using Hysteresis thresholding, null, 269. ; B. de Finetti Bruno (1937), La Prevision: ses lois logiques, ses sources subjectives, Annals de l'Institut Henri Poincare, 7, 1. ; B. D. Acosta, "Experiments in image segmentation for automatic US license plate recognition", Master's thesis, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA, 2004. ; Chang C.-I. (2006), Survey and comparative analysis of entropy and relative entropy thresholding techniques, IEE Proceedings Vision, Image and Signal Processing, 153, 6, 837. ; Musicki D. (1994), Integrated probabilistic data association, IEEE Transactions on Automation and Control, 39, 6, 1237. ; Shafer G. (2006), The sources of Kolmogorovs Grundbegriffe, Statistical Science, 21, 1, 70. ; Canny J. (1986), A computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 6, 679. ; Hu J. (2000), Optimal color composition matching of images, null, 4, 47. ; K. Aboura, "Stochastic analysis of discrete fourier transform data for license plate localization", Technical Report, School of Computing and Communications, University of Technology Sydney, 2007, unpublished. ; Aboura K. (2008), Probabilistic reasoning still the shortest path in many problems, International Journal of Computing, Anticipatory Systems, 20-21-22. ; Aboura K. (2008), Automatic Thresholding of License Plate, International Journal of Automation and Control, 2, 2-3. ; Aboura K. (2010), The Inapplicability of the Concept of Subjective Probability, null. ; K. Aboura and R. Alhmouz, "License plate localization using a statistical analysis of discrete fourier transform signal", Technical Report, School of Computing and Communications, University of Technology Sydney, 2007, unpublished. ; Breiman L. (2001), Statistical Modeling: The Two Cultures, Statistical Science, 16, 3, 199, doi.org/10.1214/ss/1009213726 ; Savage L. (1954), The Foundations of Statistics. ; Degroot M. (1970), Optimal Statistical Decisions. ; Sezgin M. (2004), Survey over image thresholding techniques and quantitative performance evaluation, Journal of Electronic Imaging, 13, 1, 146. ; Osl M. (2008), On the combination of logistic regression and local probability estimates, null. ; Piccardi M. (2005), Multi-frame moving object track matching based on an incremental major color spectrum histogram matching algorithm, Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 3, 19. ; Cuadra M. (2005), Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images, IEEE Transactions on Medical Imaging, 24, 12, 1548. ; Ko M.-A. (2003), License plate surveillance system using weighted template matching, null. ; National Institutes of Health, US Department of Health and Human Services, NIH Image Bank <a target="_blank" href='http://media.nih.gov/imagebank/about.asp'>http://media.nih.gov/imagebank/about.asp</a> ; Otsu N. (1979), A threshold selection method from gray-level histogram, IEEE Transactions on Systems, Man, and Cybernetics, 9, 1, 62. ; Singpurwalla N. (2006), Reliability and risk. A Bayesian perspective. ; Godin N. (2005), Integration of the Kohonen's self-organising map and k-means algorithm for the segmentation of the AE data collected during tensile tests on cross-ply composites, NDT & E INTERNATIONAL, 38, 4, 299. ; Sahoo P. (1988), A survey of thresholding techniques, Computer Vision, Graphics and Image Processing, 41, 233. ; Parisi R. (1998), Car plate recognition by neural networks and image processing, null, 3, 195. ; SnAP, University of Pennsylvania, University of North Carolina, Chapel Hill, ETH Zurich, 2006. Available: <a target="_blank" href='http://www.itksnap.org/'>http://www.itksnap.org/</a> ; Chang S.-L. (2004), Automatic license plate recognition, IEEE Transactions on Intelligent Transportation Systems, 5, 1, 42. ; Lu W. (2001), A color histogram based people tracking system", in, Proc. IEEE International Symposium on Circuits and Systems, 2, 137. ; Chen Y. (1998), Augmented image histogram for image and video similarity search, null, 3656, 523.