Learning Figure-ground Image Segmentors by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Liang:2017:GECCO,

• author = "Yuyu Liang and Mengjie Zhang and Will N. Browne",
• title = "Learning Figure-ground Image Segmentors by Genetic Programming",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "239--240",
• size = "2 pages",
• URL = "http://doi.acm.org/10.1145/3067695.3075989",
• DOI = "doi:10.1145/3067695.3075989",
• acmid = "3075989",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, figure-ground segmentation, postprocessing, preprocessing",
• month = "15-19 " # jul,
• abstract = "Figure-ground segmentation is an important image processing task that genetic programming (GP) has been successfully introduced to solve. However, existing GP methods use a homogeneous mixture of preprocessing and post processing operators for segmentation. This can result in inappropriate operators being connected, leading to poor performance and unnecessary operations in solutions. To address this issue, two new methods are designed to enable GP to conduct image preprocessing, binarisation and postprocessing separately. Specifically, the two methods introduce a strongly-typed representation (StronglyGP) and a two-stage evolution (TwostageGP) in GP respectively Results show that StronglyGP can evolve effective segmentors for the given complex segmentation tasks. However, TwostageGP currently performs poorly, which is likely caused by over fitting, which will be addressed in future work.",
• notes = "Also known as \cite{Liang:2017:LFI:3067695.3075989} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",

}

Genetic Programming entries for Yuyu Liang Mengjie Zhang Will N Browne

Citations