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方力洋, 王进, 陆国栋. 拓扑信息区域匹配的室内设计色彩转移算法[J]. 计算机辅助设计与图形学学报, 2017, 29(6): 1044-1051.
引用本文: 方力洋, 王进, 陆国栋. 拓扑信息区域匹配的室内设计色彩转移算法[J]. 计算机辅助设计与图形学学报, 2017, 29(6): 1044-1051.
Fang Liyang, Wang Jin, Lu Guodong. Color Transfer Algorithm for Interior Design through Region Matching Based on Topological Information[J]. Journal of Computer-Aided Design & Computer Graphics, 2017, 29(6): 1044-1051.
Citation: Fang Liyang, Wang Jin, Lu Guodong. Color Transfer Algorithm for Interior Design through Region Matching Based on Topological Information[J]. Journal of Computer-Aided Design & Computer Graphics, 2017, 29(6): 1044-1051.

拓扑信息区域匹配的室内设计色彩转移算法

Color Transfer Algorithm for Interior Design through Region Matching Based on Topological Information

  • 摘要: 针对室内场景区域之间色彩区别度大、色彩相对丰富的特点,提出一种基于拓扑综合信息指导区域匹配的室内设计色彩转移算法.首先对室内设计图像进行区域分割,计算每个区域的拓扑综合信息,根据拓扑结构信息确定区域匹配关系,提高色彩转移的准确性;其次在已匹配的区域之间进行色彩转移,并对没有对应输入色彩的区域进行色彩调整,提高色彩转移的完整性;最后采用色彩和谐算法来降低色彩转移中产生的杂色对色彩转移结果的影响,提升转移后的色彩和谐度.实验结果表明,该算法在全局上能较好地保留图像色彩的丰富性,在局部上能获得较好的匹配关系和色彩调整结果,从而获得较好的色彩转移结果.

     

    Abstract: Considering the features of interior designs, with the significant color difference between regions and the rich colorfulness, this paper proposes a color transfer algorithm for interior designs through matching regions based on topological information. First, the segmentation of interior design images is introduced, then the calculation of topological information of each region is proposed to determine the match relation between regions, thus improving the accuracy of color transfer between images. Secondly, to improve the integrity of color transfer, not only the color transfer is introduced between matched regions, but also the color adjustment is introduced for regions without corresponding target region. Finally, the color harmony algorithm is introduced to reduce the influence of unexpected color generated in the procedure of color transfer, thus improving the harmony of final image. Experimental results show that the proposed algorithm not only can preserve the richness of the image color in the overall situation, but also can get better matching relation and the color adjustment result in the local area, thus generating better color transfer results.

     

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