Combinations of Feature Descriptors for Texture Image Classification

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Journal of Data Analysis and Information Processing

ISSN Print: 2327-7211
ISSN Online: 2327-7203
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"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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[6]	An empirical evaluation of recent texture features for the classification of natural images
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[7]	Caracterização e Análise de Texturas Estáticas e Dinâmicas Utilizando Redes Complexas, Caminhadas Determinísticas e Campos Vetoriais
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[8]	A Review on Image Texture Analysis Methods
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[9]	Adaptive multidimensional fuzzy sets for texture modeling
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[10]	A Fast and Efficient Image Indexing and Search System based on Color and Texture Features
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[11]	Histogram of Radon transform and texton matrix for texture analysis and classification
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[12]	Deep Learning Method vs. Hand-Crafted Features for Lung Cancer Diagnosis and Breast Cancer Risk Analysis
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[13]	Texture characterization via deterministic walks' direction histogram applied to a complex network-based image transformation
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[14]	Active Contour Integrating Patch-Level and Pixel-Level Features
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[15]	Content-based Image Retrieval by Exploring Bandletized Regions through Support Vector Machines
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[16]	Tissue Segmentation Methods Using 2D Histogram Matching in a Sequence of MR Brain Images
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[17]	Concrete Slump Classification using GLCM Feature Extraction
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[18]	Variable Kernel Bandwidth Tracking Algorithm Based on Contourlet Histogram and Information Entropy
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[19]	Intelligent System of M-Vision Based on Optimized SIFT
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[20]	Combination of Mammographic Texture Feature Descriptors for Improved Breast Cancer Diagnosis
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[22]	Relationship between Effective Application of Machine Learning and Malware Detection: A Quantitative Study
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[24]	Rekonstruksi Degradasi dalam Pengolahan Citra Menggunakan Metode Konvolusi
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[25]	Combining Features for Texture Analysis
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[26]	Research on Novel Image Classification Algorithm based on Multi-Feature Extraction and Modified SVM Classifier
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[27]	Texture characterization via improved deterministic walks on image-generated complex network
	Image Processing (ICIP), 2015 IEEE International Conference on, 2015

[28]	Content based image retrieval using embedded neural networks with bandletized regions
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[29]	Texture Enhanced Tissue Analysis

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[2]	Generative adversarial approach to urban areas NDVI estimation: A case study of Łódź, Poland Quaestiones Geographicae, 2023 DOI:10.14746/quageo-2023-0007

[3]	Water Stress Identification in Chickpea Images using Machine Learning 2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC), 2020 DOI:10.1109/R10-HTC49770.2020.9356973

[4]	A Fast and Efficient Image Indexing and Search System based on Color and Texture Features Indian Journal of Science and Technology, 2017 DOI:10.17485/ijst/2017/v10i39/119860

[5]	Intelligent System of M-Vision Based on Optimized SIFT Journal of Computer and Communications, 2016 DOI:10.4236/jcc.2016.44005

[6]	Concrete Slump Classification using GLCM Feature Extraction IOP Conference Series: Materials Science and Engineering, 2016 DOI:10.1088/1757-899X/131/1/012011

[7]	Content Based Image Retrieval Using Embedded Neural Networks with Bandletized Regions Entropy, 2015 DOI:10.3390/e17063552

[8]	Texture characterization via improved deterministic walks on image-generated complex network 2015 IEEE International Conference on Image Processing (ICIP), 2015 DOI:10.1109/ICIP.2015.7351641

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