Results 81 to 90 of about 33,755 (241)

Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval

IEEE Access
In recent years, color Local Binary Pattern (LBP) based descriptors have garnered substantial attention in computer vision and image analysis. This study presents a comprehensive review of color LBP-based descriptors developed over the past decade ...
Mahmood Sotoodeh, Ali Kohan, Mohamad Roshanzamir, Senthil Kumar Jagatheesaperumal, Mohammad Reza Chalak Qazani, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Pawel Plawiak   +7 more
doaj   +1 more source

Exploiting Vision Transformer and Ensemble Learning for Advanced Malware Classification

Engineering Reports, Volume 8, Issue 1, January 2026.
Overview of the proposed RF–ViT ensemble for multi‐class malware classification. Textual (BoW/byte‐frequency) and visual representations are combined via a product rule, achieving improved accuracy and robustness over individual models. ABSTRACT Malware remains a significant concern for modern digital systems, increasing the need for reliable and ...
Fadi Makarem, Rida El Chall, Abed Ellatif Samhat, Khouloud Samrouth, Nader Bakir   +4 more
wiley   +1 more source

A New Laws Filtered Local Binary Pattern Texture Descriptor for Ultrasound Kidney Images Retrieval

Applied Medical Informatics, 2014
Content Based Image Retrieval (CBIR) is an inevitable technique in medical applications. One of the important tasks in CBIR is the feature extraction process.
Chelladurai CALLINS CHRISTIYANA, Vayanaperumal RAJAMANI   +1 more
doaj  

A New Feature-Based Wavelet Completed Local Ternary Pattern (Feat-WCLTP) for Texture Image Classification

IEEE Access, 2020
LBP is one of the simplest yet most powerful feature extraction descriptors. Many descriptors based on LBP have been proposed to improve its performance.
Abeer Moh'd Shamaileh, Taha H. Rassem, Liew Siau Chuin, Osama Nayel Al Sayaydeh   +3 more
doaj   +1 more source

A Noise Invariant Method for Bearing Fault Detection and Diagnosis Using Adapted Local Binary Pattern (ALBP) and Short-Time Fourier Transform (STFT)

IEEE Access
This study proposes a new method for bearing Fault Detection and Diagnosis (FDD) in Belt Starter Generators (BSGs) using vibration signals. The Adapted Local Binary Pattern (ALBP) method is introduced, and its performance is compared to the conventional ...
Hosna Geraei, Edgar Armando Vazquez Rodriguez, Ehsan Majma, Saeid Habibi, D. Al-Ani   +4 more
semanticscholar   +1 more source

Parts Surface Defect Detection Algorithm Based on Improved YOLOv8s

Engineering Reports, Volume 8, Issue 1, January 2026.
Enhanced YOLOv8s for real‐time surface defect detection: An improved YOLOv8s deep learning model is developed for detecting fatigue and linear cracks on part surfaces. Trained on a high‐resolution crack dataset with diverse environmental and texture conditions, the model achieves mAP@0.5 = 0.9626, mAP@0.5:0.95 = 0.7803, Precision = 0.926, and Recall ...
Zhe Sun, Caiying Qiao, Dongrui Li, Enhua Zhang   +3 more
wiley   +1 more source

Robustness Analysis of Distributed CNN Model Training in Expression Recognition

IET Biometrics, Volume 2026, Issue 1, 2026.
Facial expression recognition is vital in pattern recognition and affective computing. With the advancement of deep learning, its performance has improved, yet challenges remain in nonlaboratory environments due to occlusion, poor lighting, and varying head poses.
Jun Li, Jun Wan
wiley   +1 more source

Reinforcement Training of Face Recognition Systems Using Morphing and XAI Methods

IET Biometrics, Volume 2026, Issue 1, 2026.
This study introduces a reinforcement training framework for face recognition systems (FRSs) that leverages facial morphing techniques to generate counterfactual visual instances for model enhancement. Two complementary morphing strategies were employed: a geometric approach based on Delaunay–Voronoi triangulation (DVT‐Morph) and a generative approach ...
Roberto Gallardo-Cava, David Ortega-DelCampo, Daniel Palacios-Alonso, Javier M. Moguerza, Cristina Conde, Enrique Cabello, Christian Rathgeb   +6 more
wiley   +1 more source

Local Directional Difference and Relational Descriptor for Texture Classification

Mathematics
The local binary pattern (LBP) has been widely used for extracting texture features. However, the LBP and most of its variants tend to focus on pixel units within small neighborhoods, neglecting differences in direction and relationships among different ...
Weidan Yan, Yongsheng Dong
doaj   +1 more source

A Multi‐Layer Convolutional Sparse Network for Pattern Classification Based on Sequential Dictionary Learning

IET Computer Vision, Volume 20, Issue 1, January/December 2026.
In this paper, we introduce a novel multilayer architecture called the convolutional sparse network (CSN), which is grounded in dictionary learning and convolutional sparse coding. Similar to conventional convolutional neural networks (CNNs), the CSN is designed to extract discriminative features from images.
Farhad Sadeghi Almalou, Farbod Razzazi, Arash Amini   +2 more
wiley   +1 more source