Learning Defect Classifiers for Textured Surfaces Using Neural Networks and Statistical Feature Representations
Open Access
- 1 January 2013
- journal article
- Published by Elsevier BV in Procedia CIRP
- Vol. 7, 347-352
- https://doi.org/10.1016/j.procir.2013.05.059
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Automated surface inspection of cold-formed micro-partsCIRP Annals, 2012
- Texture classification approach based on combination of random threshold vector technique and co-occurrence matrixesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Analysis of punch velocity dependent process window in micro deep drawingProduction Engineering, 2010
- Fusion of textural statistics using a similarity measure: application to texture recognition and segmentationPattern Analysis and Applications, 2008
- Automatic thresholding for defect detectionPattern Recognition Letters, 2006
- Dimensional Micro and Nano MetrologyCIRP Annals, 2006
- Neural network based detection of local textile defectsPattern Recognition, 2003
- Multiresolution gray-scale and rotation invariant texture classification with local binary patternsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Automated inspection of nonwoven web materials: a case studyPublished by SPIE-Intl Soc Optical Eng ,1994
- Visual pattern recognition by moment invariantsIEEE Transactions on Information Theory, 1962