Title of Paper:Automatic Relevance Determination of Adaptive Variational Bayes Sparse Decomposition for Micro-Cracks Detection in Thermal Sensing (Code is attached)

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Journal:IEEE Sensors Journal

Abstract:Induction Thermography has been applied as an emerging Non-Destructive Testing and Evaluation (NDT&E) technique for a wide range of conductive materials. The IR vision sensing acquired image sequences contain valuable information in both spatial and time domain. However, automatic and precisely extracting defect pattern from thermal video remains a challenge. In order to accurately find anomalous patterns for defect detection and further quantitative NDE, we propose automatic relevance determination approach with adaptive variational Bayes for sub-group sparse decomposition. A subset of scale

Note:Code is attached

All the Authors:Peng Lu, Wai Lok Woo, Gui Yun Tian

Correspondence Author:Bin Gao

Volume:17

Issue:16

Page Number:5220-5230

Translation or Not:no

Date of Publication:2017-08-15