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一种基于二值特征的书画鉴证方法

发表时间:2016-08-31  浏览量:1256  下载量:534
全部作者: 周浩得,刘建国
作者单位: 华中科技大学自动化学院
摘 要: 研究基于二值特征的书画鉴证,利用图像二值特征匹配技术,对该艺术品以前的存照和现在的图像进行匹配,判断两组图像是否来源于同一作品。由于书画备案时使用平台式成像设备采样,而在鉴证时使用手持式设备拍摄,两种设备的图像质量差异较大,简单的图像匹配方法表现较差。于是提出一种融合使用ORB 算法和BRISK 算法的方法,综合两种算法的图像匹配结果给出鉴证结果。实验结果表明,针对质量差异较大的两组图像,该方法能够很好地解决匹配问题,并且能够给出可信度较高的初步鉴证结果。
关 键 词: 图像匹配;书画鉴证;二值特征;特征融合
Title: A method for painting assurance based on binary features
Author: ZHOU Haode, LIU Jianguo
Organization: School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract: The goal of this paper is to study painting assurance by binary-feature-based image matching. With feature-based matching technique, we match the recorded and current images of the artwork, to judge whether these two sets of images come from the same artwork or not. Painting assurance based on handheld and platform imaging device, means to sample the painting with platform when records, and to identify based on the images of poor quality from handheld device. Because the images from handheld device are of low quality, normal methods cannot get a satisfactory matching result. This paper proposes an assurance method with ORB feature and BRISK feature. Experimental results show that the multi-feature fusion method can solve the matching problem of images of different quality, and the painting assurance result is of high reliability.
Key words: image processing; painting assurance; binary feature; multi-feature fusion
发表期数: 2016年8月第16期
引用格式: 周浩得,刘建国. 一种基于二值特征的书画鉴证方法[J]. 中国科技论文在线精品论文,2016,9(16):1712-1718.
 
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