Genetic Programming for Algae Detection in River Images

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Andrew Lensen and Harith Al-Sahaf and 
                 Mengjie Zhang and Brijesh Verma",
  title =        "Genetic Programming for Algae Detection in River
  booktitle =    "Proceedings of 2015 IEEE Congress on Evolutionary
                 Computation (CEC 2015)",
  year =         "2015",
  editor =       "Yadahiko Murata",
  pages =        "2468--2475",
  address =      "Sendai, Japan",
  month =        "25-28 " # may,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CEC.2015.7257191",
  abstract =     "Genetic Programming (GP) has been applied to a wide
                 range of image analysis tasks including many real-world
                 segmentation problems. This paper introduces a new
                 biological application of detecting Phormidium algae in
                 rivers of New Zealand using raw images captured from
                 the air. In this paper, we propose a GP method to the
                 task of algae detection. The proposed method
                 synthesises a set of image operators and adopts a
                 simple thresholding approach to segmenting an image
                 into algae and non-algae regions. Furthermore, the
                 introduced method operates directly on raw pixel values
                 with no human assistance required. The method is tested
                 across seven different images from different rivers.
                 The results show good success on detecting areas of
                 algae much more efficiently than traditional manual
                 techniques. Furthermore, the result achieved by the
                 proposed method is comparable to the hand-crafted
                 ground truth with a F-measure fitness value of 0.64
                 (where 0 is best, 1 is worst) on average on the test
                 set. Issues such as illumination, reflection and waves
                 are discussed.",
  notes =        "1645 hrs 15398 CEC2015",

Genetic Programming entries for Andrew Lensen Harith Al-Sahaf Mengjie Zhang Brijesh Verma