Content-Based Image Retrieval for Surface Defects of Hot Rolled Steel Strip Using Wavelet-Based LBP

[1]  Yunhui Yan,et al.  A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects , 2013 .

[2]  C. Won,et al.  Efficient Use of MPEG‐7 Edge Histogram Descriptor , 2002 .

[3]  Zoubeida Messali,et al.  Robust fuzzy c-means clustering algorithm using non-parametric Bayesian estimation in wavelet transform domain for noisy MR brain image segmentation , 2017, IET Image Process..

[4]  Davud Asemani,et al.  Surface defect detection in tiling Industries using digital image processing methods: analysis and evaluation. , 2014, ISA transactions.

[5]  Hermann Ney,et al.  Features for image retrieval: an experimental comparison , 2008, Information Retrieval.

[6]  Djemel Ziou,et al.  Fusion-based shape descriptor for weld defect radiographic image retrieval , 2013 .

[7]  Ke Xu,et al.  An Improved MB-LBP Defect Recognition Approach for the Surface of Steel Plates , 2019, Applied Sciences.

[8]  Dusmanta Kumar Mohanta,et al.  Review of vision-based steel surface inspection systems , 2014, EURASIP Journal on Image and Video Processing.

[9]  Xianghua Xie,et al.  A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques , 2008 .

[10]  Mark J. Shensa,et al.  The discrete wavelet transform: wedding the a trous and Mallat algorithms , 1992, IEEE Trans. Signal Process..

[11]  Matti Pietikäinen,et al.  A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..