Journal ArticleDOI
Feature extraction based on contourlet transform and its application to surface inspection of metals
Yonghao Ai,Ke Xu +1 more
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TLDR
Experimental results show that the proposed method of feature extraction based on contourlet transform and kernel locality preserving projections performs better than the other three methods in accuracy and efficiency.Abstract:
Surface defects that affect the quality of metals are an important factor. Machine vision systems commonly perform surface inspection, and feature extraction of defects is essential. The rapidity and universality of the algorithm are two crucial issues in actual application. A new method of feature extraction based on contourlet transform and kernel locality preserving projections is proposed to extract sufficient and effective features from metal surface images. Image information at certain direction is important to recognition of defects, and contourlet transform is introduced for its flexible direction setting. Images of metal surfaces are decomposed into multiple directional subbands with contourlet transform. Then features of all subbands are extracted and combined into a high-dimensional feature vector, which is reduced to a low-dimensional feature vector by kernel locality preserving projections. The method is tested with a Brodatz database and two surface defect databases from industrial surface-inspection systems of continuous casting slabs and aluminum strips. Experimental results show that the proposed method performs better than the other three methods in accuracy and efficiency. The total classification rates of surface defects of continuous casting slabs and aluminum strips are up to 93.55% and 92.5%, respectively.read more
Citations
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Surface defect detection in tiling Industries using digital image processing methods: analysis and evaluation.
Mohammad Karimi,Davud Asemani +1 more
TL;DR: A survey has been made on the pattern recognition and image processing algorithms which have been used to detect surface defects and the existing algorithms in each subgroup appear to be limited for detecting some subgroup of defects.
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An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference
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Automated vision system for quality inspection of slate slabs
TL;DR: An automated inspection system for examining slate slabs, based on capturing data with a 3D colour camera and studying slate slab traits using computer vision algorithms specifically developed for this purpose, performed well and proved to be robust.
Journal ArticleDOI
Application of Shearlet transform to classification of surface defects for metals
Ke Xu,Shunhua Liu,Yonghao Ai +2 more
TL;DR: DST-KLPP provides higher classification rates than other methods, including Wavelet, Curvelet and Contourlet transform, and can recognize tiny defects from low-contrast images availably.
Journal ArticleDOI
Application of RNAMlet to surface defect identification of steels
Ke Xu,Yang Xu,Peng Zhou,Wang Lei +3 more
TL;DR: RNAMlet as discussed by the authors uses non-symmetry anti-packing pattern representation model (NAM) to decompose the image into a set of rectangular blocks asymmetrically according to gray value changes of image pixels.
References
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Proceedings Article
Locality Preserving Projections
Xiaofei He,Partha Niyogi +1 more
TL;DR: These are linear projective maps that arise by solving a variational problem that optimally preserves the neighborhood structure of the data set by finding the optimal linear approximations to the eigenfunctions of the Laplace Beltrami operator on the manifold.
Journal ArticleDOI
The contourlet transform: an efficient directional multiresolution image representation
Minh N. Do,Martin Vetterli +1 more
TL;DR: A "true" two-dimensional transform that can capture the intrinsic geometrical structure that is key in visual information is pursued and it is shown that with parabolic scaling and sufficient directional vanishing moments, contourlets achieve the optimal approximation rate for piecewise smooth functions with discontinuities along twice continuously differentiable curves.
Journal ArticleDOI
The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
TL;DR: This paper proposes a design framework based on the mapping approach, that allows for a fast implementation based on a lifting or ladder structure, and only uses one-dimensional filtering in some cases.
Journal ArticleDOI
Multifocus image fusion using the nonsubsampled contourlet transform
Qiang Zhang,Bao-long Guo +1 more
TL;DR: A novel image fusion algorithm based on the nonsubsampled contourlet transform (NSCT) is proposed, aiming at solving the fusion problem of multifocus images, and significantly outperforms the traditional discrete wavelets transform-based and the discrete wavelet frame transform- based image fusion methods.
Proceedings ArticleDOI
Contourlets: a directional multiresolution image representation
Minh N. Do,Martin Vetterli +1 more
TL;DR: The contourlet transform can be designed to satisfy the anisotropy scaling relation for curves, and thus offers a fast and structured curvelet-like decomposition, and provides a sparse representation for two-dimensional piecewise smooth signals resembling images.
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