Multi-source Color Transfer Based on Active Contours Exploration
Pan Ji · Acta Automatica Sinica · 2014
Traditional multi-source color transfer algorithms often use Euclidean color distance to split the target image.However, the vagueness and uncertainty of the color sequence easily make the image segmentation prone to color distortion.In order to solve this problem, a multi-source color transfer based on active contours exploration algorithm is proposed.Firstly, for the purpose of splitting the object and background of the target image, an active evolutionary method is used to generate a virtual contour and an energy function evaluation mechanism is used to force the virtual contour gradually to approach the real contour. Secondly, representation, segmentation and transformation of the source and target images in different color spaces, i.e., RGB, Gray and LMS, are exploited to transfer color style from source images to the target image in the lαβ color space. Finally, the processed image in lαβ color space is operated backwards and is displayed in the RGB space. Simulation studies involving comparison of single-source and multi-source color transfers, selection for optimal color channel in Gray space, and analysis of mutual interference between color channels in different color spaces have verified the rationality and effectiveness of the proposed algorithm.