Automated recognition of wood used in traditional Japanese sculptures by texture analysis of their low-resolution computed tomography data
Automated recognition of wood used in traditional Japanese sculptures by texture analysis of their low-resolution computed tomography data
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DOI：
10.1007/s10086-015-1507-6
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发表时间：
2015-12-01
影响因子：
2.9
通讯作者：
Sugiyama, Junji
中科院分区：
文献类型：
--
作者：
Kobayashi, Kayoko;Akada, Masanori;Sugiyama, Junji
从文物的保存和传承来看，鉴定文化文物中使用的木材物种是重要的。然而，需要一种非破坏性的方法，在常规方法(如显微镜)中，必须将木材样本部分切除。在这项研究中，我们构建了一种新的系统，利用日本木雕中使用的八种主要树种的X射线计算机断层图像的图像识别来识别木材。使用灰度共生矩阵对CT图像进行纹理分析，从中计算出15个纹理特征。采用k近邻算法与交叉验证相结合的方法对系统进行分类评价。使用该系统对图像质量(分辨率、灰度级和图像大小)变化的输入数据集进行了研究，当输入图像具有一定的质量水平时，准确率超过98%。尽管仍有技术问题需要克服，但自动识别的发展进展非常令人鼓舞，因为这种方法有可能为将科学物种概念添加到人工制品中做出宝贵贡献；否则，只有文字文件可用。
The identification of wood species used in the cultural artifacts is important in terms of their preservation and inheritance. However, a nondestructive method is required, and wood samples must be partly cut off in conventional methods such as microscopy. In this study, we constructed a novel system for wood identification using image recognition of X-ray computed tomography images of eight major species used in Japanese wooden sculptures. Texture analyses of the computed tomography images were carried out using the gray-level co-occurrence matrix, from which 15 textural features were calculated. The k-nearest-neighbor algorithm combined with cross validation was applied for classification and evaluation of the system. Input datasets with a variation in image qualities (resolution, gray level, and image size) were investigated using this novel system, and the accuracy was greater than 98 % when the input images had a certain quality level. Although there are still technical problems to be overcome, progress in the development of automated identification is extremely encouraging in that such an approach has the potential to make a valuable contribution in adding scientific species notion to the artifacts; otherwise, only the literal documents are available.