Adjacent evaluation of local binary pattern for texture classification

K Song, Y Yan, Y Zhao, C Liu - Journal of Visual Communication and …, 2015 - Elsevier
This paper presents a novel, simple, yet robust texture descriptor against noise named the
adjacent evaluation local binary patterns (AELBP) for texture classification. In the proposed …

[PDF][PDF] 图像纹理分类方法研究进展和展望

刘丽, 赵凌君, 郭承玉, 王亮, 汤俊 - 自动化学报, 2018 - aas.net.cn
摘要纹理分类是计算机视觉和模式识别领域的一个重要的基本问题, 也是图像分割, 物体识别,
场景理解等其他视觉任务的基础. 本文从纹理分类问题的基本定义出发, 首先 …

An analytical review of texture feature extraction approaches

MR Keyvanpour, S Vahidian… - International Journal of …, 2021 - inderscienceonline.com
Image registration has been an essential task in computer vision and image processing.
There are many applications of image registration, for instance, in medical systems. Image …

Grain knowledge graph representation learning: A new paradigm for microstructure-property prediction

C Shu, J He, G Xue, C Xie - Crystals, 2022 - mdpi.com
The mesoscopic structure significantly affects the properties of polycrystalline materials.
Current artificial-based microstructure-performance analyses are expensive and require rich …

Noise robust rotation invariant features for texture classification

R Maani, S Kalra, YH Yang - Pattern Recognition, 2013 - Elsevier
This paper presents a novel, simple, yet powerful and robust method for rotation invariant
texture classification. Like the Local Binary Patterns (LBP), the proposed method considers …

The role of quantitative PET in predicting cancer treatment outcomes

IE Naqa - Clinical and translational imaging, 2014 - Springer
Recent years have witnessed increasing use of positron emission tomography (PET) in
cancer staging and monitoring. In particular, 18 F-fluoro-2-deoxy-d-glucose (FDG) has …

Remote sensing of tea plantations using an SVM classifier and pattern-based accuracy assessment technique

M Dihkan, N Guneroglu, F Karsli… - International Journal of …, 2013 - Taylor & Francis
Tea (Camellia sp.) and its plantation are very important on a worldwide scale as it is the
second-most consumed beverage after water. Therefore, it becomes necessary to map the …

A non-contact approach for surface roughness prediction in CNC turning using a linear regression model

DR Patel, MB Kiran - Materials Today: Proceedings, 2020 - Elsevier
At present, the combination of non-contact type optical techniques and machine vision
systems has a huge significance in the assessment of surface roughness. The non-contact …

Texture databases–a comprehensive survey

S Hossain, S Serikawa - Pattern Recognition Letters, 2013 - Elsevier
Texture analysis is a very important area in the field of computer vision and related fields.
There are a good number of databases developed by different research groups for various …

[PDF][PDF] Combined scattering for rotation invariant texture analysis.

L Sifre, S Mallat - ESANN, 2012 - di.ens.fr
This paper introduces a combined scattering representation for texture classification, which
is invariant to rotations and stable to deformations. A combined scattering is computed with …