{"title":"基于改进Criminisi算法的破损纺织品文物图像修复","authors":"李奇 Li Qi, 李龙 Li Long, 王卫 Wang Wei, 南蓬勃 Nan Pengbo","doi":"10.3788/lop222378","DOIUrl":"https://doi.org/10.3788/lop222378","url":null,"abstract":"为修复破损纺织品文物图像,在Criminisi算法基础上,提出一种改进的基于K-means颜色分割的纺织品文物图像修复算法。根据纺织品文物图像的特点,将RGB图像转化为Lab颜色模型,采用K-means分类器对a*b*层数据基于颜色进行分割处理,对纹样图案边缘进行标定并缩小匹配块搜索区域;引入L值的标准差来表示颜色离散度,对优先权函数以及自适应匹配块进行改进。用所提算法与文献报道的3种算法对自然破损纺织品文物图像和人为破损纺织品图像进行修复,并对修复结果进行评价。实验结果表明,所提算法修复的图像纹理自然、结构合理,峰值信噪比、结构相似性、特征相似性、均方误差值更好。","PeriodicalId":51502,"journal":{"name":"激光与光电子学进展","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135105350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}