A Survey on Genetic Programming to Image Analysis
[1]Bi Ying,Xue Bing,Zhang Mengjie.A Survey on Genetic Programming to Image Analysis[J].Journal of Zhengzhou University (Engineering Science),2018,39(06):3-13.[doi:10.13705/j.issn.1671-6833.2018.06.018]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39
Number of periods:
2018 06
Page number:
3-13
Column:
Public date:
2018-10-24
- Title:
- A Survey on Genetic Programming to Image Analysis
- Keywords:
- GP; genetic programming; genetic programming; image analysis; Evolutionary computing; feature extraction; image classification; edge detection; Image segmentation
- CLC:
- -
- 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 forimage analysis, and pointd out promising research directions for future work.
- References:
- -
- Similar References:
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Last Update:
2018-10-25
