A novel and accurate chess pattern for automated texture classification
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[1] Jelena Kovacevic,et al. A multiresolution approach to automated classification of protein subcellular location images , 2007, BMC Bioinformatics.
[2] Housam Khalifa Bashier,et al. Texture classification via extended local graph structure , 2016 .
[3] Ki-Hyun Jung,et al. Local diagonal extrema number pattern: A new feature descriptor for face recognition , 2018, Future Gener. Comput. Syst..
[4] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Satish Kumar Singh,et al. Local quadruple pattern: A novel descriptor for facial image recognition and retrieval , 2017, Comput. Electr. Eng..
[6] Wilson S. Geisler,et al. Multichannel Texture Analysis Using Localized Spatial Filters , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Abdelmgeid A. Ali,et al. Ear recognition using local binary patterns: A comparative experimental study , 2019, Expert Syst. Appl..
[8] Dakshina Ranjan Kisku,et al. Face identification using some novel local descriptors under the influence of facial complexities , 2018, Expert Syst. Appl..
[9] Matti Pietikäinen,et al. Outex - new framework for empirical evaluation of texture analysis algorithms , 2002, Object recognition supported by user interaction for service robots.
[10] U. Rajendra Acharya,et al. Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network , 2017, Inf. Sci..
[11] Kalaiarasi Sonai Muthu,et al. Face recognition with Symmetric Local Graph Structure (SLGS) , 2014, Expert Syst. Appl..
[12] Robert Azencott,et al. Texture Classification Using Windowed Fourier Filters , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Yassine Ruichek,et al. Repulsive-and-attractive local binary gradient contours: New and efficient feature descriptors for texture classification , 2018, Inf. Sci..
[14] Sasan Mahmoodi,et al. Extended three-dimensional rotation invariant local binary patterns , 2017, Image Vis. Comput..
[15] Ville Ojansivu,et al. Blur Insensitive Texture Classification Using Local Phase Quantization , 2008, ICISP.
[16] Qian Zhang,et al. Hilbert spectrum analysis of piecewise stationary signals and its application to texture classification , 2018, Digit. Signal Process..
[17] Esa Rahtu,et al. BSIF: Binarized statistical image features , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[18] Byungyong Ryu,et al. Facial expression recognition with local prominent directional pattern , 2019, Signal Process. Image Commun..
[19] Hu Pei,et al. Center-symmetric local binary pattern based on weighted neighbor contribution , 2016 .
[20] Christian Münzenmayer,et al. Multispectral Texture Analysis Using Interplane Sum- and Difference-Histograms , 2002, DAGM-Symposium.
[21] Xiaoyang Tan,et al. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions , 2007, IEEE Transactions on Image Processing.
[22] Odemir Martinez Bruno,et al. A Gaussian pyramid approach to Bouligand-Minkowski fractal descriptors , 2018, Inf. Sci..
[23] Matti Pietikäinen,et al. A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..
[24] Housam Khalifa Bashier,et al. Plant Identification Based on Leaf Shape and Texture Pattern Using Local Graph Structure (LGS) , 2013 .
[25] Chung-Feng Jeffrey Kuo,et al. Automatic Recognition of Fabric Nature by Using the Approach of Texture Analysis , 2006 .
[26] Yong Xu,et al. Scale-space texture description on SIFT-like textons , 2012, Comput. Vis. Image Underst..
[27] Jialiang Chen,et al. Binary image steganalysis based on local texture pattern , 2018, J. Vis. Commun. Image Represent..
[28] Qingquan Li,et al. Local Binary Pattern-Based Hyperspectral Image Classification With Superpixel Guidance , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[29] Sevinç Gülseçen,et al. Arranging Bus Behaviour by Finding the Best Prediction Model with Artificial Neural Networks , 2019 .
[30] R.M. Haralick,et al. Statistical and structural approaches to texture , 1979, Proceedings of the IEEE.
[31] Xiang-Gen Xia,et al. Wavelet-Based Texture Analysis and Synthesis Using Hidden Markov Models , 2003 .
[32] Kjersti Engan,et al. Noise robust and rotation invariant framework for texture analysis and classification , 2018, Appl. Math. Comput..
[33] Wujie Zhou,et al. Local gradient patterns (LGP): An effective local-statistical-feature extraction scheme for no-reference image quality assessment , 2017, Inf. Sci..
[34] Matti Pietikäinen,et al. Image Analysis with Local Binary Patterns , 2005, SCIA.
[35] Matti Pietikäinen,et al. Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] M. Usman Akram,et al. Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines , 2019, Artif. Intell. Medicine.
[37] T. Schindewolf,et al. Classification of melanocytic lesions with color and texture analysis using digital image processing. , 1993, Analytical and quantitative cytology and histology.
[38] Leen-Kiat Soh,et al. Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices , 1999, IEEE Trans. Geosci. Remote. Sens..
[39] Jonghyun Choi,et al. Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Shyam Krishna Nagar,et al. Local extreme complete trio pattern for multimedia image retrieval system , 2016, Int. J. Autom. Comput..
[41] B. S. Manjunath,et al. Texture Features for Browsing and Retrieval of Image Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[42] Andrew Zisserman,et al. A Statistical Approach to Texture Classification from Single Images , 2005, International Journal of Computer Vision.
[43] Anjan Gudigar,et al. Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images , 2018, Inf. Sci..
[44] Yassine Ruichek,et al. Local Concave-and-Convex Micro-Structure Patterns for texture classification , 2018, Pattern Recognit..
[45] Matti Pietikäinen,et al. Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] Turgut Özseven,et al. Investigation of the effect of spectrogram images and different texture analysis methods on speech emotion recognition , 2018, Applied Acoustics.
[47] Qiqi Kou,et al. Principal curvatures based local binary pattern for rotation invariant texture classification , 2019, Optik.
[48] Fouad Khelifi,et al. Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization , 2018, Neurocomputing.
[49] Bhabatosh Chanda,et al. Local directional ZigZag pattern: A rotation invariant descriptor for texture classification , 2018, Pattern Recognit. Lett..
[50] C.-C. Jay Kuo,et al. Texture analysis and classification with tree-structured wavelet transform , 1993, IEEE Trans. Image Process..
[51] U. Rajendra Acharya,et al. Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network , 2017, J. Comput. Sci..
[52] Jaihie Kim,et al. Palmprint recognition with Local Micro-structure Tetra Pattern , 2017, Pattern Recognit..
[53] Jitendra Malik,et al. SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[54] Heng Li,et al. A modeling strategy for cell dynamic morphology classification based on local deformation patterns , 2019, Biomed. Signal Process. Control..
[55] Ömer Faruk Ertuğrul,et al. Two novel local binary pattern descriptors for texture analysis , 2015, Appl. Soft Comput..
[56] F. Cendes,et al. Texture analysis of medical images. , 2004, Clinical radiology.
[57] Andrew Zisserman,et al. A Statistical Approach to Material Classification Using Image Patch Exemplars , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[58] Loris Nanni,et al. Local binary patterns variants as texture descriptors for medical image analysis , 2010, Artif. Intell. Medicine.
[59] Yassine Ruichek,et al. Attractive-and-repulsive center-symmetric local binary patterns for texture classification , 2019, Eng. Appl. Artif. Intell..
[60] U. Rajendra Acharya,et al. Automated EEG-based screening of depression using deep convolutional neural network , 2018, Comput. Methods Programs Biomed..
[61] Topi Mäenpää,et al. The local binary pattern approach to texture analysis - extensions and applications , 2003 .
[62] Maria Petrou,et al. Image processing - dealing with texture , 2020 .
[63] Eimad E. A. Abusham,et al. Face Recognition Using Local Graph Structure (LGS) , 2011, HCI.
[64] Dongrui Wu,et al. Feature Dimensionality Reduction for Video Affect Classification: A Comparative Study , 2018, 2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia).
[65] Dexin Zhang,et al. Personal Identification Based on Iris Texture Analysis , 2003, IEEE Trans. Pattern Anal. Mach. Intell..