A robust feature-based full-field initial value estimation in path-independent digital image correlation for large deformation measurement

IF 4.6 2区 物理与天体物理 Q1 OPTICS Optics and Laser Technology Pub Date : 2024-12-01 DOI:10.1016/j.optlastec.2024.112177
Jianlong Zhao , Yong Sang , Fuhai Duan
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Abstract

The feature-based path-independent digital image correlation (DIC) method has been shown to be a formidable tool for non-contact, full-field measurement of large deformation, but its effectiveness hinges crucially on acquiring sufficient matched features to perform a reliable full-field initial value estimation (IVE) for all points of interest (POIs), thus ensuring their successful and rapid convergence in the succeeding path-independent iterative DIC refinement. This prerequisite is a challenging task particularly when confronted with large deformation. Moreover, in many real-world measurement scenarios, the accuracy of IVE is also influenced by image noise, such as Gaussian noise and shot noise, further compounding the challenge. To mitigate these issues, we propose a robust feature-based full-field IVE method. The core of this method consists of two main components: (i) For feature detection, we leverage the strengths of nonlinear multiscale representations on speckle images using an Accelerated-KAZE (A-KAZE) detector, which extracts features in a nonlinear scale space via nonlinear diffusion filtering. Noise is suppressed and edges are preserved. Compared to existing state-of-the-art feature detectors used in DIC, such as Scale Invariant Feature Transform (SIFT) and Speeded-Up Robust Feature (SURF) detectors, which rely on the use of Gaussian linear scale spaces, the A-KAZE-based nonlinear scale space detector identifies more salient features with higher localization accuracy. (ii) For feature description, considering the need for robustness against large deformation and the computational burden of descriptor matching for considerable salient features that may be detected in speckle images, we introduce a robust Gradient Location and Orientation Histogram (GLOH) descriptor and propose an improved version of it. The GLOH's improved version incorporates a restricted adaptive binning (RAB) strategy to optimize the descriptor’s structure parameters, which is able to reduce the computational cost of descriptor matching through restricting its dimensionality while without sacrificing its robustness and discriminability. These two components are designed to provide sufficient matched features for a full-field IVE. The initial deformation for each POI is estimated independently by fitting a local affine transformation model, which is refined to subpixel accuracy through iterative path-independent DIC analysis. To handle complex large deformation, the inverse compositional Gauss-Newton (IC-GN) algorithm with a second-order shape function is employed. Extensive experimental results demonstrate that our method has improved IVE accuracy as well as behaves more robustness against local geometric transformations and image noise including Gaussian noise and shot noise, as compared to existing state-of-the-art feature-based full-field IVE methods.
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来源期刊
CiteScore
8.50
自引率
10.00%
发文量
1060
审稿时长
3.4 months
期刊介绍: Optics & Laser Technology aims to provide a vehicle for the publication of a broad range of high quality research and review papers in those fields of scientific and engineering research appertaining to the development and application of the technology of optics and lasers. Papers describing original work in these areas are submitted to rigorous refereeing prior to acceptance for publication. The scope of Optics & Laser Technology encompasses, but is not restricted to, the following areas: •development in all types of lasers •developments in optoelectronic devices and photonics •developments in new photonics and optical concepts •developments in conventional optics, optical instruments and components •techniques of optical metrology, including interferometry and optical fibre sensors •LIDAR and other non-contact optical measurement techniques, including optical methods in heat and fluid flow •applications of lasers to materials processing, optical NDT display (including holography) and optical communication •research and development in the field of laser safety including studies of hazards resulting from the applications of lasers (laser safety, hazards of laser fume) •developments in optical computing and optical information processing •developments in new optical materials •developments in new optical characterization methods and techniques •developments in quantum optics •developments in light assisted micro and nanofabrication methods and techniques •developments in nanophotonics and biophotonics •developments in imaging processing and systems
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