title: Sparse Reconstruction for Micro Defect Detection in Acoustic Micro Imaging.
abstract: Acoustic micro imaging has been proven to be sufficiently sensitive for micro defect detection. In this study, we propose a sparse reconstruction method for acoustic micro imaging. A finite element model with a micro defect is developed to emulate the physical scanning. Then we obtain the point spread function, a blur kernel for sparse reconstruction. We reconstruct deblurred images from the oversampled C-scan images based onl₁-norm regularization, which can enhance the signal-to-noise ratio and improve the accuracy of micro defect detection. The method is further verified by experimental data. The results demonstrate that the sparse reconstruction is effective for micro defect detection in acoustic micro imaging.
authors: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. zhangyc@hust.edu.cn.
authors: Yichun
authors: Y
authors: Zhang
authors: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. tlshi@hust.edu.cn.
authors: Tielin
authors: T
authors: Shi
authors: Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi 214122, China. lei_su2015@jiangnan.edu.cn.
authors: Lei
authors: L
authors: Su
authors: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. wangxiao1989@hust.edu.cn.
authors: Xiao
authors: X
authors: Wang
authors: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. hongyuan@hust.edu.cn.
authors: Yuan
authors: Y
authors: Hong
authors: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. ckphust@hust.edu.cn.
authors: Kepeng
authors: K
authors: Chen
authors: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. guanglan.liao@hust.edu.cn.
authors: Guanglan
authors: G
authors: Liao
keywords: acoustic micro-imaging; micro defect; point spread function; sparse reconstruction