Expert content-based image retrieval system using robust local patterns

Subrahmanyam Murala; Q.M. Jonathan Wu

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Expert content-based image retrieval system using robust local patterns

机译：使用健壮的局部模式的基于内容的专家图像检索系统

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摘要

A new image indexing and retrieval algorithm for content based image retrieval is proposed in this paper. The local region of the image is represented by making the use of local difference operator (LDO), separating it into two components i.e. sign and magnitude. The sign LBP operator (S_LBP) is a generalized LBP operator. The magnitude LBP (M_LBP) operator is calculated using the magnitude of LDO. A robust LBP (RLBP) operator is presented employing robust SJLBP and robust M_LBP. Further, the combination of Gabor transform and RLBP operator has also been presented. The robustness is established by conducting four experiments on different image database i.e. Corel 1000 (DB1), Brodatz texture database (DB2) and MIT VisTex database (DB3) under different lighting (illumination) and noise conditions. Investigations reveal a promising achievement of the technique presented when compared to SJLBP and other existing transform domain techniques in terms of their evaluation measures.

机译：提出了一种基于内容的图像检索新的图像索引和检索算法。通过使用局部差分算子（LDO）来表示图像的局部区域，将其分成两个分量，即符号和幅度。符号LBP运算符（S_LBP）是广义LBP运算符。使用LDO的幅度计算幅度LBP（M_LBP）运算符。提出了使用鲁棒SJLBP和鲁棒M_LBP的鲁棒LBP（RLBP）算子。此外，还提出了Gabor变换和RLBP算子的组合。通过在不同的光照（光照）和噪声条件下对不同的图像数据库（即Corel 1000（DB1），Brodatz纹理数据库（DB2）和MIT VisTex数据库（DB3））进行四个实验来建立鲁棒性。调查显示，与SJLBP和其他现有的变换域技术相比，所提出的技术在评估手段方面具有可喜的成就。

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来源
《Journal of visual communication & image representation》 |2014年第6期|1324-1334|共11页
作者
Subrahmanyam Murala; Q.M. Jonathan Wu;
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作者单位

Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada;

Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada;

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正文语种 eng
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关键词
Local binary pattern (LBP); Content based image retrieval (CBIR); Texture; Gabor transform (GT); Feature extraction; Multi-scale features; Local difference operator (LDO); Database;

机译：本地二进制模式（LBP）;基于内容的图像检索（CBIR）;质地;Gabor变换（GT）;特征提取;多尺度特征;本地差异算子（LDO）;数据库;

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6. A Robust Indoor Localization System Integrating Visual Localization Aided by CNN-Based Image Retrieval with Monte Carlo Localization [O] . Song Xu, Wusheng Chou, Hongyi Dong 2019

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7. Local texton XOR patterns: A new feature descriptor for content-based image retrieval [O] . Anu Bala, Tajinder Kaur 2016

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Expert content-based image retrieval system using robust local patterns

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