Full-Field Displacement Measurement Technique by Using Repeated Patterns and JPEG Compressed Images
Volume 4, Issue 3-1, June 2015, Pages: 9-13
Received: Mar. 27, 2015;
Accepted: Jun. 26, 2015;
Published: Jul. 6, 2015
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Shien Ri, Research Institute of Instrumentation Frontier, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
Satoshi Hayashi, Research Institute of Instrumentation Frontier, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan; Department of Mechanical Engineering, Tokyo University of Science, Chiba, Japan
Hiroshi Tsuda, Research Institute of Instrumentation Frontier, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
Shinji Ogihara, Department of Mechanical Engineering, Tokyo University of Science, Chiba, Japan
This paper presents an experimental technique for measuring displacement distribution from an image of repeated patterns and JPEG compressed images. The measurement accuracy of the developed method is insusceptible to the degree of JPEG compression because only lower spatial frequency components of the repeated pattern are used to calculate the displacement distribution, and high spatial frequency components have high priority to cut-off according to the JPEG compression algorithm. The insensitivity to the JPEG compression was confirmed by a displacement measurement using JPEG images of various compression ratios or image qualities. We found that by using the highest quality JPEG image, the accuracy of displacement measurement could research 1/1000 of the repeated pattern pitch, as same the uncompressed BMP images. In addition, displacement with accuracy of 1/500 pitch could be measured from a compressed JPEG image of which the file size was 1/50 of that of the BMP image. This technique is useful for measurement using a high-speed camera with high-resolution digital images for a long-term or wireless image transfer.
Full-Field Displacement Measurement Technique by Using Repeated Patterns and JPEG Compressed Images, Optics. Special Issue: Optical Techniques for Deformation, Structure and Shape Evaluation.
Vol. 4, No. 3-1,
2015, pp. 9-13.
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