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Estimating cover image for universal payload region detection in stego images
Published 2022-09-01Subjects: Get full text
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A Novel Improved Local Binary Pattern and Its Application to the Fault Diagnosis of Diesel Engine
Published 2020-01-01“…Aiming at the feature extraction difficulty of vibration signals, an improved local binary pattern- (ILBP-) based diesel engine fault diagnosis approach is proposed. …”
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Employee attendance system using face recognition and GPS using local binary pattern histogram
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Enhanced AlexNet with Gabor and Local Binary Pattern Features for Improved Facial Emotion Recognition
Published 2025-06-01“…The model effectively utilizes texture information from faces through Gabor and Local Binary Pattern (LBP) feature extraction techniques. …”
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Digits Recognition for Arabic Handwritten through Convolutional Neural Networks, Local Binary Patterns, and Histogram of Oriented Gradients
Published 2024-10-01“…Specifically, the methods under consideration are Convolutional Neural Networks (CNNs), which have demonstrated their utility in diverse domains and offer effective solutions. Local Binary Pattern (LBP) is a unique, efficient textural operator that finds widespread application in the area of computers such as biometric identification and detection of targets as feature extraction techniques. …”
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A Multi-Kernel Mode Using a Local Binary Pattern and Random Patch Convolution for Hyperspectral Image Classification
Published 2021-01-01“…In order to improve classification performance while reducing costs, this article proposes a multikernel method based on a local binary pattern and random patches (LBPRP-MK), which integrates a local binary pattern (LBP) and deep learning into a multiple-kernel framework. …”
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Multi scale supervised entropy weighted binary pattern for texture classification
Published 2025-07-01“…To tackle these challenges, this paper proposes an efficient multi-scale supervised entropy-weighted binary pattern for texture classification. Firstly, this paper introduces a local entropy-weighted histogram based on two-dimensional entropy to enhance the discriminative power of binary pattern operators. …”
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Fitur Esktraksi LBP dan Naive Bayes dalam Klasifikasi Jenis Pepaya Berdasarkan Citra Daun
Published 2021-12-01“…Metode Local Binary Pattern operator sederhana dan efisien untuk menggambarkan pola gambar local dan mendapatkan hasil yang baik dalam tekstur pengambilan gambar. …”
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Completed Local Ternary Pattern for Rotation Invariant Texture Classification
Published 2014-01-01“…Despite the fact that the two texture descriptors, the completed modeling of Local Binary Pattern (CLBP) and the Completed Local Binary Count (CLBC), have achieved a remarkable accuracy for invariant rotation texture classification, they inherit some Local Binary Pattern (LBP) drawbacks. …”
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Noise-Robust Local Ternary Pattern Center for Noisy Texture Classification
Published 2025-01-01“…Local Binary Pattern (LBP) has been widely used for texture analysis in machine vision and image processing. …”
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Robust zero-watermarking for color images using hybrid deep learning models and encryption
Published 2025-08-01“…This paper presents a robust zero-watermarking technique for color images, combining Local Binary Patterns (LBP) with deep features extracted from the CONV5-4 layer of the VGG19 neural network to overcome these limitations. …”
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Center Symmetric Local Multilevel Pattern Based Descriptor and Its Application in Image Matching
Published 2016-01-01“…This paper presents an effective local image region description method, called CS-LMP (Center Symmetric Local Multilevel Pattern) descriptor, and its application in image matching. …”
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A Novel Method for Describing Texture of Scar Collagen Using Second Harmonic Generation Images
Published 2017-01-01“…Using the LOTP operator resulted in the highest accuracy assessment of scar characteristics compared to other methods, such as improving local ternary pattern, binary gradient contours, and grey level co-occurrence. …”
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Real-Time Defect Detection for Fast-Moving Fabrics on Circular Knitting Machine Under Various Illumination Conditions
Published 2025-01-01“…First, to tackle the challenges of real-time detection, limited training data, and varying illumination conditions, we develop a lightweight semantic segmentation model, LBUnet, which leverages local binary (LB) convolution to effectively handle variable lighting conditions. …”
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Shot based keyframe extraction using edge-LBP approach
Published 2022-07-01“…The proposed method detects abrupt shots by extracting binarized edge information from frames for texture characterisation using Local Binary Pattern (LBP) method. Further, Euclidean distance has been applied on the histogram features constructed and an adaptive threshold is used to detect abrupt shots. …”
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EFFICIENCY UTILIZATION OF GREEN TIME AT COUNTDOWN SIGNALIZED INTERSECTION
Published 2021-07-01“…Experience from the successful use of pedestrian countdown signals at urban traffic intersections has engendered some local interest in the use of countdown traffic intersections has engendered some local interest in the use of countdown traffic signal devices in the United States. …”
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A multistrategy improved hunger games search algorithm
Published 2025-08-01“…The main contributions of MHGS are fourfold: (1) a phased position update framework that dynamically coordinates global exploration and local exploitation through three distinct search phases; (2) an enhanced reproduction operator inspired by biological reproductive patterns to preserve population diversity; (3) an adaptive boundary handling mechanism that redirects out-of-bounds individuals to promising regions, thus improving search efficiency; and (4) an elite dynamic oppositional learning strategy with self-adjusting coefficients to enhance the algorithm’s ability to avoid local optima. …”
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Illumination Invariant Face Recognition using SQI and Weighted LBP Histogram
Published 2024-02-01“…In this paper, a novel illumination invariant face recognition approach based on Self Quotient Image (SQI) and weighted Local Binary Pattern (WLBP) histogram has been proposed. …”
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Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures
Published 2025-03-01“…Transformer-based models like TransUNet and Swin-Unet use self-attention mechanisms to capture both local and global spatial relationships, enhancing robustness across diverse crack patterns. …”
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Personalized diagnosis of radiation pneumonitis in breast cancer patients based on radiomics
Published 2025-07-01“…Five texture-oriented and four first-order features were retained, underscoring the importance of texture-focused extractors [wavelet and local binary pattern (LBP)].ConclusionCT-derived radiomic signatures combined with machine learning classifiers enable the accurate detection of RP in breast cancer patients. …”
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