Chan, Chee Seng and Coghill, George M. and Liu, Honghai (2011) Recent advances in fuzzy qualitative reasoning. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 19 (3). pp. 417-422. ISSN 0218-4885, DOI https://doi.org/10.1142/S0218488511007064.
Full text not available from this repository.Abstract
A reliable human skin detection method that is adaptable to different human skin colors and illumination conditions is essential for better human skin segmentation. Even though different human skin-color detection solutions have been successfully applied, they are prone to false skin detection and are not able to cope with the variety of human skin colors across different ethnic. Moreover, existing methods require high computational cost. In this paper, we propose a novel human skin detection approach that combines a smoothed 2-D histogram and Gaussian model, for automatic human skin detection in color image(s). In our approach, an eye detector is used to refine the skin model for a specific person. The proposed approach reduces computational costs as no training is required, and it improves the accuracy of skin detection despite wide variation in ethnicity and illumination. To the best of our knowledge, this is the first method to employ fusion strategy for this purpose. Qualitative and quantitative results on three standard public datasets and a comparison with state-of-the-art methods have shown the effectiveness and robustness of the proposed approach.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Color space; dynamic threshold; fusion strategy; skin detection |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Artificial Intelligence |
| Depositing User: | Miss Nur Jannatul Adnin Ahmad Shafawi |
| Date Deposited: | 15 Apr 2013 02:56 |
| Last Modified: | 12 Nov 2019 03:05 |
| URI: | http://eprints.um.edu.my/id/eprint/5550 |
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