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What is 2004-Lip Image Segmentation Using Fuzzy Clustering about?
This paper presents a novel fuzzy clustering method for lip image segmentation that incorporates an elliptic shape function to improve differentiation between lip and nonlip regions. The proposed algorithm, called fuzzy c-means with shape function (FCMS), effectively addresses issues related to color noise and weak color contrast by integrating both color information and spatial distance. Experimental results demonstrate that FCMS outperforms traditional fuzzy c-means and other segmentation methods in terms
- Author
- Siddesh Shivarudraswamy
- Language
- EN