Variational Bayesian Subgroup Adaptive Sparse Component Extraction for Diagnostic Imaging System

Volume: 65, Issue: 10, Pages: 8142 - 8152
Published: Oct 1, 2018
Abstract
A novel unsupervised sparse component extraction algorithm is proposed for detecting micro defects while employing a thermography imaging system. The proposed approach is developed using the variational Bayesian framework. This enables a fully automated determination of the model parameters and bypasses the need for human intervention in manually selecting the appropriate image contrast frames. An internal subsparse grouping mechanism and...
Paper Details
Title
Variational Bayesian Subgroup Adaptive Sparse Component Extraction for Diagnostic Imaging System
Published Date
Oct 1, 2018
Volume
65
Issue
10
Pages
8142 - 8152
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