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. 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. 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. 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.