Genetic programming for edge detection: a Gaussian-based approach

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Fu:2016:SC,
  author =       "Wenlong Fu and Mark Johnston and Mengjie Zhang",
  title =        "Genetic programming for edge detection: a
                 Gaussian-based approach",
  journal =      "Soft Computing",
  year =         "2016",
  volume =       "20",
  number =       "3",
  pages =        "1231--1248",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, Edge
                 detection, Sampling, Feature extraction",
  ISSN =         "1432-7643",
  DOI =          "doi:10.1007/s00500-014-1585-1",
  size =         "18 pages",
  abstract =     "Gaussian-based filtering techniques have been
                 popularly applied to edge detection. However, how to
                 effectively tune parameters of Gaussian filters and how
                 to effectively combine different Gaussian filters are
                 still open issues. In this study, a new genetic
                 programming (GP) approach is proposed to automatically
                 tune parameters of Gaussian filters and automatically
                 combine different types of Gaussian filters to extract
                 edge features. In general, it is time-consuming for GP
                 to evolve edge detectors using a large training image
                 dataset. To efficiently evolve edge detectors from a
                 large training image dataset, we propose sampling
                 techniques (randomly selecting training images) to
                 evolve Gaussian-based edge detectors. A sampling
                 technique only using part of a set of images obtains
                 similar performance to the training data using all of
                 these images. The evolved edge detectors from the
                 proposed sampling technique perform better than the
                 Gaussian gradient and rotation invariant surround
                 suppression. Based on the analysis of GP evolving edge
                 detectors, it is suggested that combining Gaussian
                 filters should be based on different types of Gaussian
                 filters, and the Gaussian gradient should be considered
                 as a major filter in these combinations.",
}

Genetic Programming entries for Wenlong Fu Mark Johnston Mengjie Zhang

Citations