Method of plant texture image recognition based on genetic programming

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@InProceedings{Meng:2010:ICCDA,
  author =       "Lamei Meng and Yamin Li and Huanrong Zhu",
  title =        "Method of plant texture image recognition based on
                 genetic programming",
  booktitle =    "2010 International Conference on Computer Design and
                 Applications (ICCDA)",
  year =         "2010",
  month =        "25-27 " # jun,
  volume =       "1",
  pages =        "V1--370--V1--373",
  abstract =     "The genetic programming classifier's evolution and the
                 classified speed is quick, the real-time performance is
                 good, the classified recognition needs the domain
                 knowledge to be very few, it is advantageous for the
                 promoted use. This article carries on the imagery
                 processing to the gathering plant bark image. It uses
                 the Gray Level Co-occurrence Matrix technique
                 description image the texture feature and carries on
                 the recognition and classification using the genetic
                 programming algorithm to the plant image. Through it
                 carries on the classified experiment to many kinds of
                 plant bark image, it indicates that this method is
                 feasible, has the good classified precision.",
  keywords =     "genetic algorithms, genetic programming, classifier
                 evolution, gray level co-occurrence matrix technique,
                 imagery processing, plant bark image, plant texture
                 image recognition, biology computing, botany, image
                 classification, image colour analysis, image texture,
                 matrix algebra",
  DOI =          "doi:10.1109/ICCDA.2010.5540845",
  notes =        "tree bark Coll. of Mech. & Electr. Eng., Agric. Univ.
                 of Hebei, Baoding, China. Also known as
                 \cite{5540845}",
}

Genetic Programming entries for Lamei Meng Ya-Min Li Huan-rong Zhu

Citations