建筑装饰材料表面清洗效果评估方法研究
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摘要
本文主要研究了花岗石、大理石等建筑装饰材料的表面污染程度及其清洗效果的评估方法。提出了基于色量子化的图像信息特征抽出方法与类似度计算相结合评估体系对建筑装饰材料表面污染及其清洗效果进行了有效评估,并且在此基础上自主研发了相应的评估软件。并将此评估软件应用于工程实践中,进一步验证了评估软件的有效性。最后根据表面污染与清洗效果评估的定量结果,对清洗效果进行了分级。
This paper mainly studies the evaluation method of cleaning effect and the surface pollution degree of granite,marble and other building decoration materials. This paper puts forward the evaluation method of image information feature extraction method and similarity degree calculation based on color quantization,and makes an effective evaluation on the surface pollution and cleaning effect of building decoration materials. On this basis,the corresponding evaluation software is developed independently. And the evaluation software was applied to engineering practice,which further validates the effectiveness of the evaluation software. Finally,the cleaning effect was graded according to the quantitative results of the surface contamination and the cleaning effect evaluation.
This paper mainly studies the evaluation method of cleaning effect and the surface pollution degree of granite,marble and other building decoration materials. This paper puts forward the evaluation method of image information feature extraction method and similarity degree calculation based on color quantization,and makes an effective evaluation on the surface pollution and cleaning effect of building decoration materials. On this basis,the corresponding evaluation software is developed independently. And the evaluation software was applied to engineering practice,which further validates the effectiveness of the evaluation software. Finally,the cleaning effect was graded according to the quantitative results of the surface contamination and the cleaning effect evaluation.
引文
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[2]张秉坚,铁景沪,刘嘉玮.古建筑与石质文物的清洗技术[J].清洗世界,2004,(5):25-28.
[3]张秉坚,铁景沪.大型石质文物表面清洗技术的现状和发展趋势[J].石材,2007,(11):19-22.
[4]郭建.山西博物院学术文集[C].山西:山西人民出版社,2011.
[5]周华,高峰,王扬,王昌燧.云冈石窟石质文物表面污染物清洗效果检测技术实验[J].文物保护与考古科学,2013,25(1):15-23.
[6]Chen X H,Lu H X,Wang S J,Qin H.Human-inspired Order Based Block Feature in the HSI Color Space for Image Retrieval[C].IEEE International Conference.2009:11-32.
[7]章玉卿.石材着色防护新工艺新技术与深加工及质量检测标准规范实用手册[M].北京:中国建筑科技出版社,2007.
[8]Zhuang Y T,Pan Y H.A Survey on Content-based Image Retrieval[J].Pattern Recognition and Artificial Intelligence.2001,12(2):170-178.
[9]王文惠.基于内容的图像检索技术研究[D].长沙:国防科学技术大学,2001.
[10]院秋骑.数字图像处理学[M].北京:电子工业出版社,2001.
[11]Feng J,Li M J,Zhang H J,Zhang B.A Unified Framework for Image Retrieval Using Keyword and Visual Feature[C].IEEE Transactions on Image Processing,2005,14(7):979-989.
[12]Nishi S and Shoji T.Measurement and Analysis of Spectral Reflection Properties of Oil Paints[J].Journal of the Color Science Association of Japan,2008,32(4):260-270.