Journal ArticleDOI
Application of RNAMlet to surface defect identification of steels
Ke Xu,Yang Xu,Peng Zhou,Wang Lei +3 more
TLDR
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.About:
This article is published in Optics and Lasers in Engineering.The article was published on 2018-06-01. It has received 34 citations till now. The article focuses on the topics: Continuous casting & Contourlet.read more
Citations
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Journal ArticleDOI
Automated Visual Defect Detection for Flat Steel Surface: A Survey
TL;DR: This article attempts to present a comprehensive survey on surface defect detection technologies by reviewing about 120 publications over the last two decades for three typical flat steel products of con-casting slabs and hot- and cold-rolled steel strips.
Journal ArticleDOI
Surface defect classification of steels with a new semi-supervised learning method
TL;DR: CAE-SGAN is proposed to classify surface defects of steels based on Convolutional Autoencoder and semi-supervised Generative Adversarial Networks, and the results indicate that it had yielded best performances compared with traditional methods.
Journal ArticleDOI
A deep-learning-based approach for fast and robust steel surface defects classification
TL;DR: A compact yet effective convolutional neural network model, which emphasizes the training of low-level features and incorporates multiple receptive fields, to achieve fast and accurate steel surface defect classification and adopts the pre-trained SqueezeNet as the backbone architecture.
Journal ArticleDOI
Defect detection of hot rolled steels with a new object detection framework called classification priority network
TL;DR: A new object detection framework, classification priority network (CPN), and a new classification network, multi-group convolutional neural network (MG-CNN), to inspect the defects of steel surface to improve the accuracy of defect inspection.
Journal ArticleDOI
Research Progress of Visual Inspection Technology of Steel Products—A Review
TL;DR: The purpose of this article is to study the latest developments in steel inspection relating to the detected object, system hardware, and system software, existing problems of current inspection technologies, and future research directions.
References
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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.
Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges
TL;DR: The basic issues of efficient m-term approximation, the construction of efficient adaptive representation, theConstruction of the curvelet frame, and a crude analysis of the performance of curvelet schemes are explained.
Journal ArticleDOI
Sparse geometric image representations with bandelets
E. Le Pennec,Stéphane Mallat +1 more
TL;DR: A new class of bases are introduced, called bandelet bases, which decompose the image along multiscale vectors that are elongated in the direction of a geometric flow, which leads to optimal approximation rates for geometrically regular images.
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.
Journal ArticleDOI
Efficient implementation of progressive meshes
TL;DR: Data structures and algorithms for efficient implementation of the progressive mesh representation and its applications are presented and quantitative results using a variety of computer graphics models are reported.