基于颜色聚类分割及改进的FMM算法的壁画修复  

Murals inpainting based on color clustering image segmentation and the improved FMM algorithm

作　　者：任小康[1] 邓琳凯 

机构地区：[1]西北师范大学计算机科学与工程学院,甘肃兰州730070

出　　处：《计算机工程与科学》2014年第2期298-302,共5页Computer Engineering & Science

摘　　要：近年来,由于受各种环境及人为因素的影响,壁画在一定程度上受到了破坏。为了使人们欣赏到原作的风貌,并对其进行研究和开发,还原壁画的原有样貌,提出了一种针对褪色及划痕的壁画修复算法。该算法在Lαβ空间的基础上,首次提出使用颜色聚类及掩模算法对受损壁画的破损区域进行分割提取,然后针对FMM算法中传输方向并没有完全覆盖要修复的区域的缺陷,提出了利用梯度直方图的一些特性对其传输方向进行优化。实验表明,该算法对于破损的壁画修复有很好的效果。In recent years,due to the various environmental and artificial factors,murals are destroyed to some extent.In order to make people appreciate the original style and features of murals,carry on the research and development of these cultural resources,and restore the original frescoes appearance,the paper proposes a murals fade and scratch repair algorithm.Based on Lαβcolor space,for the first time,this algorithm proposes to use the color clustering and masking algorithm to segment and extract the damaged mural regions.Besides,according to the drawback that the transmission direction of the FMM algorithm does not fully cover the to-be-repaired regions,we propose to use some features of gradient histogram to optimize the transmission direction.Experiments prove that the algorithm has good effect on repairing damaged murals.

关 键 词：壁画修复 Lαβ色彩空间 颜色聚类 掩模算法 FMM算法 梯度直方图 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]