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.
Real Time Impact Factor:
1.66667
Author Name: Yuanyuan Liu, Mingyan Jiang
URL: View PDF
Keywords: Image Identification, Image Classification, Adaboost Algorithm, Multi-Feature Integration, Algorithm Integration
ISSN: 2326-585X
EISSN: 2326-5868
EOI/DOI: 10.14355/ie.2015.03.002
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