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作 者:陈莹[1] 贾茜[1] 漆为民[1] 孙一鸣 黄心怡 CHEN Ying;JIA Qian;QI Weimin;SUN Yiming;HUANG Xinyi(School of Artificial Intelligence,Jianghan University,Wuhan 430056,Hubei,China)
出 处:《江汉大学学报(自然科学版)》2024年第2期68-77,共10页Journal of Jianghan University:Natural Science Edition
基 金:江汉大学高水平学术成果培育项目(KYCXJJ202317);江汉大学校级科研项目(2021yb052)。
摘 要:Criminisi算法广泛用于文物修补中,由于Criminisi算法采用全局搜索的方式寻找匹配块,导致修补速度慢,因此提出一种基于改进Criminisi算法的中国古画修补系统。首先,改进优先权函数,使用加权求和的形式,解决了修补后期如果优先权为0则导致修补效果差的问题;然后,在计算样本块间的相似度时,引入几何距离判断更优的匹配块,避免只考虑颜色差导致的纹理匹配错误;最后,使用步长为2的搜索方式,减少了冗余搜索,提高了修补速率。另外,使用MATLAB R2021a设计了古画修补系统,方便文物保护人员进行操作。实验结果表明,该算法提升了修补质量,提高了修补速度。The Criminisi algorithm is widely used in cultural relics repair,which finds matching blocks by global search,resulting in slow repair speed.This paper proposed the Chinese ancient painting repair system based on improved Criminisi algotithm.Firstly,the priority function was improved,and the problem that the priority was 0,which led to a poor repair effect,was solved by the weighted sum.Then,when calculating the similarity between sample blocks,the better matching blocks were judged by the geometric distance to avoid the error of texture matching caused by only considering the color difference.Finally,the redundant search was reduced and the repair rate was improved by the search method with a step size of 2.Additionally,a system of restoring ancient paintings was designed using MATLAB R2021a facilitating easy operation for cultural relic protection personnel.The experimental results showed that the improved Criminisi algorithm improved repair quality and operation speed.
关 键 词:Criminisi算法 中国古画修补 图像修补 欧氏距离
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术]
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