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 utilized 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.
Published Version
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