Dual-stage post-processing for swarm intelligent binary matrix reconstruction solution

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Kaur:2016:ICICT,
  author =       "Manjot Kaur and Naresh Kumar",
  booktitle =    "2016 International Conference on Inventive Computation
                 Technologies (ICICT)",
  title =        "Dual-stage post-processing for swarm intelligent
                 binary matrix reconstruction solution",
  year =         "2016",
  volume =       "2",
  abstract =     "The binary matrix or binary image reconstruction plays
                 vital role in the reconstruction of the binary image
                 matrix from the projection data. The several types of
                 projection data can be taken from the binary matrices.
                 The horizontal and vertical projections are the
                 simplest form of the projections, whereas the diagonal
                 and anti-diagonal projections can also be used for the
                 purpose of image reconstruction from the projection
                 data. The variance or covariance based projections also
                 plays the important role in the case of binary image
                 reconstruction. The binary image reconstruction may
                 require a number of computations over the input
                 projection data. The initial solution is essentially
                 required because of the certain requirement for the
                 initial stage matrix for the later stage processing,
                 which has been proposed with the genetic programming
                 and robust dual-stage post-processing module in this
                 case. The results of the proposed model have been
                 collected in the time and accuracy based parameters.
                 The proposed model can be considered the clear winner
                 in comparison with the subsisting model based upon the
                 metallurgy temperature flattening algorithm in the
                 subsisting model.",
  keywords =     "genetic algorithms, genetic programming, Metallurgy
                 reconstruction, Annealing reconstruction,
                 HV-projections, Post processing",
  DOI =          "doi:10.1109/INVENTIVE.2016.7824892",
  month =        aug,
  notes =        "Also known as \cite{7824892}",
}

Genetic Programming entries for Manjot Kaur Naresh Kumar

Citations