Long term condition monitoring of tapestries using image correlation

Abstract

Digital Image Correlation (DIC) is used to extract non-contact full-field three-dimensional displacement and inplane strains from an historic tapestries. A DIC-based approach is devised that allows the effect of RH variations on a tapestry to be quantified. A historical tapestry has been monitored in a closely controlled environment and in the natural environment. The results revealed that very small variations in RH can have significant effects on strain. An automated long term monitoring approach has been devised to allow strain data to be extracted in real time from tapestries in remote locations. The results show that DIC provides better understanding of the effect of RH fluctuations on strain which will ultimately lead to more insight into the degradation process of historical tapestries. The paper demonstrates the potential for using DIC as a condition monitoring tool.

Application of digital image correlation (DIC) for tracking deformations of paintings on canvas

“…14, 15 Recently it has been successfully applied in the field of conservation of art for strain monitoring in historic tapestries. 16,17 The authors demonstrated the feasibility of the DIC method for non-contact fullfield quantitative analysis of three-dimensional displacement and in-plain strains in large textiles. Moreover, the method has been used for a long-term monitoring of textile deformations caused by fluctuations of climatic conditions in museum environment.…”

Application of 3D digital image correlation to track displacements and strains of canvas paintings exposed to relative humidity changes

“…Since high-resolution CCD and CMOS detectors became available, DIC appeared to be the method to satisfy these requirements. It has been used successfully for examination of strains in tapestries [31][32][33]. The DIC method [34] enables noncontact, full-field measurements of displacements, simultaneously in two (2D DIC) [35][36][37] or three dimensions (3D DIC) [38][39][40], with an accuracy scalable with the field of measurement.…”

Modified two-dimensional digital image correlation method with capability of merging of data distributed in time

“…Since its inception in the early 1980s, the basic algorithm went through a series of significant modifications [2,3] that substantially broadened the area of application and improved the robustness. This advantage over standard pointwise techniques, including strain gauges, geodesy equipment, or optical fiber sensors, attracted the attention of researchers and experts from a variety of different domains such as building engineering [4], power engineering [5], and art conservation [6,7]. This advantage over standard pointwise techniques, including strain gauges, geodesy equipment, or optical fiber sensors, attracted the attention of researchers and experts from a variety of different domains such as building engineering [4], power engineering [5], and art conservation [6,7].…”