The paper presents a novel method for color quantization (CQ) of dermoscopic images. The proposed method consists of an iterative procedure that selects image regions in a hierarchical way, according to the visual importance of their colors. Each region provides a color for the palette which is used for quantization. The method is automatic, image dependent and computationally not demanding. Preliminary results show that the mean square error of quantized dermoscopic images is competitive with existing CQ approaches.
Automatic Perceptual Color Quantization of Dermoscopic Images / Bruni, Vittoria; Ramella, G.; Vitulano, D.. - (2015), pp. 323-330. (Intervento presentato al convegno International Conference on Computer Vision Theory and Applications tenutosi a Berlin, Germany nel March 2015).
Automatic Perceptual Color Quantization of Dermoscopic Images
BRUNI, VITTORIA;D. Vitulano
2015
Abstract
The paper presents a novel method for color quantization (CQ) of dermoscopic images. The proposed method consists of an iterative procedure that selects image regions in a hierarchical way, according to the visual importance of their colors. Each region provides a color for the palette which is used for quantization. The method is automatic, image dependent and computationally not demanding. Preliminary results show that the mean square error of quantized dermoscopic images is competitive with existing CQ approaches.| File | Dimensione | Formato | |
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