Abstract
Computer-aided flower identification is a very useful tool for plant species identification aspect. In this paper, a study was made on a development of content based image retrieval system to characterize flower images efficiently. In this system, a method of structural pattern recognition based on probabilistic based recursive model is proposed to classify flower images. Experimental results show that the developed system can yield promising results for flower image retrieval.
| Original language | English |
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| Title of host publication | Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 |
| Pages | 541-546 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 - Singapore, Singapore Duration: 18 Jul 2012 → 20 Jul 2012 |
Publication series
| Name | Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 |
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Conference
| Conference | 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 18/07/12 → 20/07/12 |
Keywords
- image classification
- neural network
- structural recognition
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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Cho, S. Y. (2012). Content-based structural recognition for flower image classification. In Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 (pp. 541-546). Article 6360787 (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012). https://doi.org/10.1109/ICIEA.2012.6360787