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基于主动轮廓探索的多源色彩迁移

DOI: 10.3724/SP.J.1004.2014.00713, PP. 713-720

Keywords: 主动轮廓探索,图像分割,色彩空间,多源迁移,局部迁移

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Abstract:

?传统的多源色彩迁移算法常常利用欧氏色彩距离来分割目标图像,由于色彩序列的模糊性与不确定性,使得这种分割极易出现色彩扭曲现象.针对这个问题,提出一种基于主动轮廓探索的多源色彩迁移算法.首先,为将目标图像的主体与背景分离开,利用一种主动进化的方法生成虚拟轮廓线,并采用能量函数评价机制迫使虚拟轮廓线逐渐逼近实际轮廓线.其次,合理利用源图像与目标图像在RGB、Gray和LMS等不同色彩空间的表示、分割、转换,实现其在lαβ空间的多源色彩迁移.最后,将在lαβ空间迁移得到的目标图像逆向操作后恢复为RGB显示.单源与多源色彩迁移的对比、灰度化色彩通道的选择以及各色彩空间不同色彩通道间的干涉性对比等实验验证了所提算法的合理性与有效性.

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