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Comparative Study of Skin Color Detection and Segmentation in HSV and YCbCr Color Space

机译:HSV和YCbCr颜色空间中肤色检测和分割的比较研究

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This paper presented a comparative study of human skin color detection HSV and YCbCr color space. Skin color detection is the process of separation between skin and non-skin pixels. It is difficult to develop uniform method for the segmentation or detection of human skin detection because the color tone of human skin is drastically varied for people from one region to another. Literature survey shows that there is a variety of color space is applied for the skin color detection. RGB color space is not preferred for color based detection and color analysis because of mixing of color (chrominance) and intensity (luminance) information and its non uniform characteristics. Luminance and Hue based approaches discriminate color and intensity information even under uneven illumination conditions. Experimental result shows the efficiency of YCbCr color space for the segmentation and detection of skin color in color images.
机译:本文对人皮肤颜色检测HSV和YCbCr颜色空间进行了比较研究。肤色检测是皮肤和非皮肤像素之间分离的过程。很难开发出用于分割或检测人体皮肤的统一方法,因为人的肤色从一个区域到另一个区域会急剧变化。文献调查表明,有多种颜色空间被应用于皮肤颜色检测。 RGB颜色空间对于基于颜色的检测和颜色分析不是优选的,因为混合了颜色(色度)和强度(亮度)信息及其非均匀特性。基于亮度和色相的方法即使在不均匀的照明条件下也可以区分颜色和强度信息。实验结果表明,YCbCr色彩空间对彩色图像中的肤色进行分割和检测的有效性。

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