Abstract
There is a semantic gap between the low-level visual features of image and the high-level image semantic. In this paper, we deal with the annotation of image semantic from edge points of image and matching of feature points. According to the idea of particle swarm optimization (PSO), the feature point matching is proposed based on the image edge points. The image is transformed into its edge points set using edge extraction, and then, the feature ellipse of these edge points is also proposed. According to the center of the ellipse and reference triple, the matching of feature points can implement. The experimental results confirm that the proposed approach is very effectiveness. When we use proposed approach to Corel image library, the annotation results are satisfactory.
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Acknowledgments
This work was supported by Natural Social Science Foundation of China (Grant No. 13BTQ050), and social science foundation from Chinese Ministry of Education (Grant No. 11YJAZH040).
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Jin, C., Guo, J. (2014). Image Semantic Annotation Approach Based on the Feature Matching. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Soft Computing Techniques and Engineering Application. Advances in Intelligent Systems and Computing, vol 250. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1695-7_32
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DOI: https://doi.org/10.1007/978-81-322-1695-7_32
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