目的 图像之间的颜色迁移技术是近些年来研究的热点,如今社会这种技术更多地应用于生活中相片的颜色调节,而传统的颜色迁移技术都是面向图像一般化处理。提出了一种针对于肤色的自适应颜色迁移算法。方法 首先,用户通过人机交互指定图像需要肤色变换的区域,在YCbCr空间内,初次获得肤色区域,实现肤色数据的粗提取。其次,利用在lɑβ空间中肤色分量的分布特性,实现对纯肤色信息的精确提取。最后,通过对应的转换规则,实现对肤色的转换。结果 实验数据显示,该算法实现的转换后的肤色相比于其他算法,肤色特征更自然,在人脸区域避开改变非肤色区域的色彩信息,并且保持了处理前图像的清晰度,具有很强的应用性。结论 该算法只对选择的肤色信息进行处理,避开非肤色数据,保持了其他事物的原有色彩,实现对肤色的自适应选取,实现自动肤色迁移,在差别很大的肤色之间实现的转换也取得了较好的效果。

Objective The color transfer between object images has been a hot topic in recent years. Current color transfer technology is widely applied for the color adjustment of photos taken in social activities, whereas traditional color transfer technology is used for general image processing. This paper presents an adaptive color transfer algorithm that targets skin colors. Method First, users specify the area that needs color conversion by human-machine interaction.The YCbCr color space is used to obtain the skin area for the first time and achieve rough extraction of skin color data. Second, the distribution characteristics of color components in lɑβ space are used to achieve the accurate extraction of pure color information. Finally, color conversion is achievedby the corresponding conversion rules. Result Experiment data shows that compared with other algorithms, the proposed algorithm presents converted skin color features that looks natural in the face region, avoids changing the color information of the non-skin region, and maintains the clearance of the original image.Results show that the algorithm has strong applicability. Conclusion This algorithm can only handle selected skin information, avoid non-skin data, retain the original color of other objects, achieve color adaptive selection and automatic color transfer,and obtain improved conversion results between significantly different skin colors.