An automatic region detection and processing approach in genetic programming for binary image classification
conference contribution
posted on 2021-02-11, 02:26 authored by Ying Bi, Mengjie ZhangMengjie Zhang, Bing XueBing Xue© 2017 IEEE. In image classification, region detection is an effective approach to reducing the dimensionality of the image data but requires human intervention. Genetic Programming (GP) as an evolutionary computation technique can automatically identify important regions, and conduct feature extraction, feature construction and classification simultaneously. In this paper, an automatic region detection and processing approach in GP (GP-RDP) method is proposed for image classification. This approach is able to evolve important image operators to deal with detected regions for facilitating feature extraction and construction. To evaluate the performance of the proposed method, five recent GP methods and seven non-GP methods based on three types of image features are used for comparison on four image data sets. The results reveal that the proposed method can achieve comparable performance on easy data sets and significantly better performance on difficult data sets than the other comparable methods. To further demonstrate the interpretability and understandability of the proposed method, two evolved programs are analysed. The analysis shows the good interpretability of the GP-RDP method and proves that the GP-RDP method is able to identify prominent regions, evolve effective image operators to process these regions, extract and construct good features for efficient image classification.
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Bi, Y., Zhang, M. & Xue, B. (2018, July). An automatic region detection and processing approach in genetic programming for binary image classification. In International Conference Image and Vision Computing New Zealand 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ), Christchurch, NEW ZEALAND (2017-December pp. 1-6). IEEE. https://doi.org/10.1109/IVCNZ.2017.8402469Publisher DOI
Conference name
2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)Conference Place
Christchurch, NEW ZEALANDConference start date
2017-12-04Conference finish date
2017-12-06Title of proceedings
International Conference Image and Vision Computing New ZealandVolume
2017-DecemberSeries
International Conference on Image and Vision Computing New ZealandPublication or Presentation Year
2018-07-03Pagination
1-6Publisher
IEEEPublication status
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2151-2191eISSN
2151-2205Usage metrics
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