A Survey on Genetic Programming to Image Analysis

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@Article{Bi:2018:JZU,

• author = "Ying Bi and Bing Xue and Mengjie Zhang",
• title = "A Survey on Genetic Programming to Image Analysis",
• journal = "Journal of Zhengzhou University (Engineering Science)",
• year = "2018",
• volume = "39",
• number = "6",
• pages = "3--13",
• note = "In Chinese",
• keywords = "genetic algorithms, genetic programming, image analysis, evolutionary computation, feature extraction, image classification",
• URL = "https://yingbi92.github.io/homepage/2020/%E9%81%97%E4%BC%A0%E8%A7%84%E5%88%92%E5%9C%A8%E5%9B%BE%E5%83%8F%E5%88%86%E6%9E%90%E4%B8%8A%E7%9A%84%E5%BA%94%E7%94%A8%E7%BB%BC%E8%BF%B0%E2%80%94v4.pdf",
• URL = "http://gxb.zzu.edu.cn/oa/darticle.aspx?type=view&id=201802014",
• broken_doi = "doi:10.13705/j.issn.1671-6833.2013.06.01",
• size = "11 pages",
• abstract = "As an evolutionary computation (EC) technique, Genetic programming (GP) has been widely applied to image analysis in recent decades. However, there was no comprehensive and systematic literature review in this area. To provide guidelines for the state-of-the-art research, this paper presented a survey of the literature in recent years on GP for image analysis, including feature extraction, image classification, edge detection, and image segmentation. In addition, this paper summarised the current issues and challenges, such as computationally expensive, generalisation ability and transfer learning, on GP for image analysis, and pointd out promising research directions for future work",

}

Genetic Programming entries for Ying Bi Bing Xue Mengjie Zhang

Citations