- 期刊
- OpenAccess
Image Identification-Classification Method Integrated Multi-Feature by Adaboost Algorithm
並列摘要
An image identification and classification method based on multi-feature integration is proposed in this paper. The images' colour, shape, texture features are integrated by Adaboost algorithm for image identification and classification. Meanwhile, the weak classifiers are integrated to form a strong classifier. The experimental result shows that the proposed approach has a good identification and classification performance.
延伸閱讀
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