Efficient surface finish defect detection using reduced rank spline smoothers and probabilistic classifiers

One of the primary concerns of product quality control in the automotive industry is an automated detection of defects of small sizes on specular car body surfaces. A new statistical learning appro ...

[1]  Xiangqian Jiang,et al.  Multisensor data fusion in dimensional metrology , 2009 .

[2]  Jun Yu,et al.  Multispectral image classification using wavelets: a simulation study , 2003, Pattern Recognit..

[3]  Leopoldo Armesto,et al.  Inspection system based on artificial vision for paint defects detection on cars bodies , 2011, 2011 IEEE International Conference on Robotics and Automation.

[4]  Brian D. Ripley,et al.  Pattern Recognition and Neural Networks , 1996 .

[5]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  C. Holmes,et al.  A probabilistic nearest neighbour method for statistical pattern recognition , 2002 .

[7]  Simon N. Wood,et al.  Shape constrained additive models , 2015, Stat. Comput..

[8]  Domingo Mery,et al.  A Method for Automatic Surface Inspection Using a Model-Based 3D Descriptor , 2017, Sensors.

[9]  Jun Yu,et al.  Nonparametric and probabilistic classification using NN-balls with environmental and remote sensing applications , 2011 .

[10]  Josep Tornero,et al.  On the detection of defects on specular car body surfaces , 2017 .

[11]  Jean-Michel Marin,et al.  A Bayesian reassessment of nearest-neighbour classification , 2008, 0802.1357.

[12]  Tania Stathaki,et al.  Image Fusion: Algorithms and Applications , 2008 .

[13]  Josep Tornero,et al.  Detecting dings and dents on specular car body surfaces based on optical flow , 2017 .

[14]  Adilson Gonzaga,et al.  A new approach for color image segmentation based on color mixture , 2011, Machine Vision and Applications.

[15]  Sören Kammel,et al.  Inspection of specular and painted surfaces with centralized fusion techniques , 2006 .

[16]  Robin C. Sickles,et al.  Semiparametric Estimation under Shape Constraints , 2017 .

[17]  Fernando Puente León,et al.  Architectures for Image Fusion , 2011 .

[18]  Markus C. Knauer,et al.  Phase measuring deflectometry: a new approach to measure specular free-form surfaces , 2004, SPIE Photonics Europe.

[19]  Fernando Puente León,et al.  Deflectometric Measurement of Specular Surfaces , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

[20]  Daniel Maestro-Watson,et al.  Deep Learning for Deflectometric Inspection of Specular Surfaces , 2018, SOCO-CISIS-ICEUTE.

[21]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[22]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[23]  Annie Ross,et al.  Characterization of surface defects on composite sandwich materials based on deflectrometry , 2014 .

[24]  Ahmed Patel,et al.  Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation , 2012, Sensors.

[25]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[26]  S. Wood.  Generalized Additive Models: An Introduction with R , 2006 .

[27]  Giulio Rosati,et al.  Real-time defect detection on highly reflective curved surfaces , 2009 .

[28]  Anthony N. Pettitt,et al.  Classification using distance nearest neighbours , 2010, Stat. Comput..

[29]  Xiaofeng Zhu,et al.  Efficient kNN Classification With Different Numbers of Nearest Neighbors , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[30]  A. Haar.  Zur Theorie der orthogonalen Funktionensysteme , 1910 .