A Novel Fruit Shape Classification Method: BLS-Levelset
Although some fruits have a fixed shape, but the growth process, the shape will still be different, different fruit shape has a certain impact on the subsequent fruit classification and selection. In order to realize fruit shape classification quickly and accurately, a novel fruit shape classification method based on level set and broad learning system(BLS) is proposed in this paper. Firstly, fruit shape information is extracted based on level set, then fruit image information is extracted based on BLS, and finally, shape information and fruit information are fused to carry out fruit shape classification research. The method was applied to the classification of the fruit shape, and the experimental results showed the effectiveness of the proposed method.
Authors
- Tieshan Li (ORCID: https://orcid.org/0000-0003-0474-953X)
- Dan Zhang (ORCID: https://orcid.org/0000-0002-5788-8851)
- Yi Zuo (ORCID: https://orcid.org/0000-0002-4580-6855)
- C. L. Philip Chen (ORCID: https://orcid.org/0000-0001-5451-7230)
Institutions
- University of Electronic Science and Technology of China (CN)
- Dalian Maritime University (CN)
- Dalian Minzu University (CN)
- South China University of Technology (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/icist63249.2024.10805309
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.00