Adaptive Search Algorithm Method of Whole-pixel Deformation for Ancient Building Painted Beams

Liu Gang, Li Mengzhu, Jiang Wei, Zhang Weiqing


Digital image correlation method (DIC) can realize non-contact displacement measurement of member by spraying uniform speckle on member surface and taking pictures before and after deformation. Considering the problems of poor recognition effect and low calculation efficiency in deformation measurement of traditional integral pixel algorithm for ancient building painted beams caused by painted pattern uneven gray scale, an Improve-Adaptive Rood Pattern Search (IARPS) method is proposed to calculate the entire pixel displacement. Firstly, the search radius of the first search point is estimated, and an exhaustive search is performed within the radius. Then, Adaptive Rood Pattern Search was introduced to search the whole pixel displacement through small diamond search. By using simulated speckle pattern displacement and the bending test of common regular painted pattern decorative wood beam, IARPS is compared with the coarse-fine search method commonly used in DIC. Through comparative analysis, the results show that IARPS method can effectively overcome the imprecision of local computation in the coarse-fine search method, and the calculation efficiency can be improved by 71.6%, which provides a new method to apply DIC to non-contact deformation measurement of ancient painted beams.




Keywords: ancient painted beams, digital image correlation method, local exhaustively search

Full Text:



JI X,FANG X,SHIM S. Design and development of a maintenanceand virtual training system for ancient Chinese architecture[J]. Multimedia Tools and Applications,2018,77(22):29367—29382.

GUO Z R,YANG Z F. Analysis of aseismic mechanism of wooden architecture of ancient Chinese[J]. Advanced Materials Research,2014,889/890:1417—1420.

CHEN L,WANG B. Research on digital reconstruction of Chinese ancient architecture [C]//Proceedings of 2013 International Conference on Anti-Counterfeiting,Security and Identification. Shanghai:IEEE,2014:136—139.

JIANG S F,TANG W J,WU M H,et al. A deformation monitoring method of ancient wooden beam based on FBG strain measurement [J]. Earthquake Engineering and Engineering Dynamics,2016,36 (6):198—206.(In Chinese)

SHIYL,SHI B,TONG H J,et al. Application research of distributed optical fiber sensing technology in ancient architecture monitoring[C]// Engineering Geology Commission,China Geology Society. Proceedings of 2014 National Engineering Geology Academic Conference. Taiyuan:Department of Journal of Engineering Geology,2014:519—523.(In Chinese)

SCHREIER H,ORTEU J J,SUTTON M A. Image correlation for shape,motion and deformation measurements[M]. Berlin:Springer Publishing Company,2009:56—60.

PETERS W H,RANSON W F. Digital imaging techniques in experiment stress analysis [J]. Optical Engineering,1982,21(3):427— 431.

SUTTON M A,WOLTERS W J,PETERS W H,et al. Determinatio of displacement using an improved digital correlation method[M]. London:Butterworth & Co(Publishers)Ltd,1983:133—139.

GENCTURK B,HOSSAIN K,KAPADIA A,et al. Use of digital image correlation technique in full -scale testing of prestressed concrete structures[J]. Measurement,2014,47(1):505—515.

AOCUNYM,LINYW,LI N,et al. Applications of digital graphics technology in the monitoring of ancient architecture cracks[J]. Henan Science,2008,26(2):212—214.(In Chinese)

WU W P. Sub-pixel displacement algorithm based on image corre lation method and experiment study [D]. Wuhan:Department ofMechanics,Huazhong University of Science & Technology,2009:28—35.(In Chinese)

LIN Z L. Research on the painting of Chinese ancient buildings[J]. Beauty and Times(City Edition),2018(7):30—31.(In Chinese)

XIONG L. The measurement technology of the tensile deformation of material based on digital image correlation[D]. Changchun:College of Mechanical Design and Theory,Jilin University,2012:13—21.(In Chinese)

HASSEN W,AMIRI H. Block matching algorithms for motion estimation[C]//Proceedings of 7th IEEE International Conference on eLearning in Industrial Electronics. Vienna,Austria:Institute ofElectrical and Electronic Engineers,2014:136—139.

ZHU S,MA K K. A new diamond search algorithm for fast blockmatching motion estimation [J]. IEEE Transactions on Image Processing,2000,9(2):287—290.

NIE Y,MA K K. Adaptive rood pattern search for fast block - matching motion estimation [J]. IEEE Transactions on Image Process,2002,11(12):1442—1449.

ZHOU P,GOODSON K E. Subpixel displacement and deformation gradient measurement using digital image/speckle correlation[J] Optical Engineering,2001,40(8):1613—1620.


  • There are currently no refbacks.