Bi-dimensional Empirical Mode Decomposition and Nonconvex Penalty Minimization L q (q = 0.5) Regular Sparse Representation-based Classification for Image Recognition
Authors:
- 1 January 2018
- journal article
- Published by Pleiades Publishing Ltd in Pattern Recognition and Image Analysis
- Vol. 28 (1) , 59-70
Abstract
This paper reports an innovative pattern recognition technique for fracture microstructure images based on Bi-dimensional empirical mode decomposition (BEMD) and nonconvex penalty minimization L q ( q...Keywords
This publication has 41 references indexed in Scilit:
- Analytical fractal model for rugged fracture surface of brittle materialsEngineering Fracture Mechanics, 2016
- Microstructural modeling of ductile fracture initiation in multi-phase materialsEngineering Fracture Mechanics, 2015
- Sparse Representation for Computer Vision and Pattern RecognitionProceedings of the IEEE, 2010
- Fracture reasons investigation of turning rack component in vehicleEngineering Failure Analysis, 2009
- Robust Face Recognition via Sparse RepresentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
- Compressed sensingIEEE Transactions on Information Theory, 2006
- Extensions of compressed sensingSignal Processing, 2006
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency informationIEEE Transactions on Information Theory, 2006
- Detecting Method of Striation Region of Fatigue Fracture Surface Using Wavelet TransformJournal of the Society of Materials Science, Japan, 2004
- Multi-Category Classification of Tool Conditions Using Wavelet Packets and ART2 NetworkJournal of Manufacturing Science and Engineering, 1998