"Combinations of Feature Descriptors for Texture Image Classification"
written by Alexander Barley, Christopher Town,
published by Journal of Data Analysis and Information Processing, Vol.2 No.3, 2014
has been cited by the following article(s):
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[1] An empirical evaluation of recent texture features for the classification of natural images
International Journal of Computers and Applications, 2018
[2] Caracterização e Análise de Texturas Estáticas e Dinâmicas Utilizando Redes Complexas, Caminhadas Determinísticas e Campos Vetoriais
[3] A Review on Image Texture Analysis Methods
[4] Adaptive multidimensional fuzzy sets for texture modeling
International Journal of Approximate Reasoning, 2018
[5] A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms
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[6] A Fast and Efficient Image Indexing and Search System based on Color and Texture Features
[7] Histogram of Radon transform and texton matrix for texture analysis and classification
IET Image Processing, 2017
[8] Deep Learning Method vs. Hand-Crafted Features for Lung Cancer Diagnosis and Breast Cancer Risk Analysis
ProQuest Dissertations Publishing, 2017
[9] Texture characterization via deterministic walks' direction histogram applied to a complex network-based image transformation
Pattern Recognition Letters, 2017
[10] Active Contour Integrating Patch-Level and Pixel-Level Features
Intelligent Computing Theories and Application, 2017
[11] Content-based Image Retrieval by Exploring Bandletized Regions through Support Vector Machines
[12] Tissue Segmentation Methods Using 2D Histogram Matching in a Sequence of MR Brain Images
New Approaches in Intelligent Image Analysis, 2016
[13] Concrete Slump Classification using GLCM Feature Extraction
IOP Conference Series: Materials Science and Engineering, 2016
[14] Variable Kernel Bandwidth Tracking Algorithm Based on Contourlet Histogram and Information Entropy
[15] Intelligent System of M-Vision Based on Optimized SIFT
[16] Combination of Mammographic Texture Feature Descriptors for Improved Breast Cancer Diagnosis
[17] Identification of Rice Storage Quality Based on Computer Vision
[18] Relationship between Effective Application of Machine Learning and Malware Detection: A Quantitative Study
ProQuest Dissertations Publishing, 2016
[19] Combining Features for Texture Analysis
Computer Analysis of Images and Patterns, 2015
[20] Research on Novel Image Classification Algorithm based on Multi-Feature Extraction and Modified SVM Classifier
[21] Texture characterization via improved deterministic walks on image-generated complex network
Image Processing (ICIP), 2015 IEEE International Conference on, 2015
[22] Content based image retrieval using embedded neural networks with bandletized regions
Entropy, 2015