A novel digital method for weave pattern recognition based on photometric differential analysis

[1]  Kenneth Revett,et al.  Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm , 2014, Expert Syst. Appl..

[2]  Shutao Li,et al.  Gaussian Pyramid Based Multiscale Feature Fusion for Hyperspectral Image Classification , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[3]  Xin Wang,et al.  Fabric Texture Analysis Using Computer Vision Techniques , 2011, IEEE Transactions on Instrumentation and Measurement.

[4]  Jihong Liu,et al.  Automatic detection of the layout of color yarns with logical analysis , 2012, Fibers and Polymers.

[5]  Chen Chun-sheng Automatic recognition of fabric weave patterns by fuzzy C-means clustering method , 2006 .

[6]  C. J. Kuo,et al.  Automatic color separating system for printed fabric using the self-organizing map network approach , 2008 .

[7]  Jian-Xin Shen,et al.  [Algorithm of locally adaptive region growing based on multi-template matching applied to automated detection of hemorrhages]. , 2013, Guang pu xue yu guang pu fen xi = Guang pu.

[8]  Xiong-Kui Li,et al.  Sheet forming of the multi-layered biaxial weft knitted fabric reinforcement. Part I: On hemispherical surfaces , 2009 .

[9]  Naif Alajlan,et al.  Model-based Alignment of Heartbeat Morphology for Enhancing Human Recognition Capability , 2015, Comput. J..

[10]  Ebrahim Momoniat,et al.  A locally adaptive, diffusion based text binarization technique , 2015, Appl. Math. Comput..

[11]  Maziar Palhang,et al.  A novel method for the identification of weave repeat through image processing , 2009 .

[12]  Mohan M. Trivedi,et al.  Object detection based on gray level cooccurrence , 1984, Comput. Vis. Graph. Image Process..

[13]  Dandan Zhu,et al.  Yarn-Dyed Fabric Defect Detection Based On Autocorrelation Function And GLCM , 2015 .

[14]  Weibin Liu,et al.  Visual object tracking with multi-scale superpixels and color-feature guided kernelized correlation filters , 2018, Signal Process. Image Commun..

[15]  Chang-Chiun Huang,et al.  Woven Fabric Analysis by Image Processing , 2000 .

[16]  George Baciu,et al.  Digital-based technology for fabric structure analysis , 2011 .

[17]  Yoshinao Aoki,et al.  A method to reconstruct shape and position of three-dimensional objects using photometric stereo system , 1987, Systems and Computers in Japan.

[18]  Tim Colonius,et al.  The immersed boundary method: A projection approach , 2007, J. Comput. Phys..

[19]  J. Sui,et al.  Study on the Surface Color Mixing Effect of Fabric with Different Colors of Warp and Weft , 2011 .

[20]  Chung-Yang Shih,et al.  Automatic Recognition of Fabric Weave Patterns by a Fuzzy C-Means Clustering Method , 2004 .

[21]  Dorit Merhof,et al.  Blind weave detection for woven fabrics , 2014, Pattern Analysis and Applications.

[22]  Junfeng Jing,et al.  Automatic classification of woven fabric structure based on texture feature and PNN , 2014, Fibers and Polymers.

[23]  Pinit Kumhom,et al.  A detection of tears in laces using image processing , 2015, 2015 7th International Conference on Knowledge and Smart Technology (KST).

[24]  Lin Fangquan Image matching method based on fast gray value projection and SSDA , 2011 .

[25]  Shu Wen Wang,et al.  Application of Wavelet Transform and TOPSIS for Recognizing Fabric Texture , 2014 .

[26]  Aiguo Song,et al.  A Novel Texture Sensor for Fabric Texture Measurement and Classification , 2014, IEEE Transactions on Instrumentation and Measurement.

[27]  Fathi E. Abd El-Samie,et al.  Simultaneous denoising and compression of multispectral images , 2013 .

[28]  Toshihiro Shinohara Expression of individual woven yarn of textile fabric based on segmentation of three dimensional CT image considering distribution of filaments , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[29]  Raúl Enrique Sánchez-Yáñez,et al.  Adaptive sigmoid function bihistogram equalization for image contrast enhancement , 2015, J. Electronic Imaging.

[30]  R. Benslimane,et al.  Textile woven fabric recognition using Fourier image analysis techniques: Part II – texture analysis for crossed-states detection , 2005 .

[31]  Ihsan Süle,et al.  Investigation of the production properties of fancy yarns using image processing method , 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).