Deep Learning based Individual Cattle Face Recognition using Data Augmentation and Transfer Learning by Caner Koç, Kamil Ekinci, Ömer Ertuğrul, Dilara Gerdan Koc, Havva Eylem Polat

“…Additionally, this study introduces a novel approach that integrates advanced image processing techniques with deep learning, providing a robust framework that can potentially be applied to other domains of animal identification, thus enhancing overall farm management and biosecurity.…”
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Localization of mobile robot in prior 3D LiDAR maps using stereo image sequence by I.V. Belkin, A.A. Abramenko, V.D. Bezuglyi, D.A. Yudin

“…With parallel code implementation, we achieve an input stereo image processing speed of 14 frames per second on Xavier AGX.…”
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Statistical Characteristics of Total Electron Content Intensifications on Global Ionospheric Maps by X. Meng, O. P. Verkhoglyadova, S. C. Chapman, N. W. Watkins, M. Cafolla

“…We develop feature extraction software based on image processing techniques to extract TEC intensification regions, that is, contiguous regions with sufficiently elevated TEC values than surrounding areas, from global TEC maps. …”
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Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review by Filip Orzan, Ştefania D. Iancu, Laura Dioşan, Zoltán Bálint

“…Recent research has focused on the application of artificial intelligence (AI) and radiomics in medical image processing, diagnosis, and treatment planning.MethodsA review of the current literature was conducted, analyzing the use of AI models and texture analysis for MS lesion segmentation and classification. …”
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A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range Surfaces by Xiang Sun, Zhenjun Luo, Shizhao Wang, Jianhua Wang, Yunpeng Zhang, Dandan Zou

“…Three-dimensional (3D) reconstruction of high-dynamic-range (HDR) surfaces plays an important role in the fields of computer vision and image processing. Traditional 3D measurement methods often face the risk of information loss when dealing with surfaces that have HDR characteristics. …”
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Experimental investigation of bluff body geometry effects on nitrogen oxides emissions from Cambridge stratified burner by Morteza Nahvi, Kiumars Mazaheri, Mohammad Zabetian Targhi, Fatemeh Eskandari

“…Flame spectroscopy compares the chemiluminescence intensities of OH*, CH*, C2*, H2O*, and CO2*. Digital image processing, flame edge detection, and exhaust gas analysis are also utilized to measure flames’ general dimensions and emissions. …”
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Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images by Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen

“…Characterization and individual trait analysis of the focal liver lesions (FLL) is a challenging task in medical image processing and clinical site. The character analysis of a unconfirmed FLL case would be expected to benefit greatly from the accumulated FLL cases with experts’ analysis, which can be achieved by content-based medical image retrieval (CBMIR). …”
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Non-Volatile Reconfigurable Optical Digital Diffractive Neural Network Based on Phase Change Material by Qiaomu Hu, Jingyu Zhao, Chu Wu, Rui Zeng, Xiaobing Zhou, Shuang Zheng, Minming Zhang

“…Optical diffractive neural networks have sparked extensive research due to their low power consumption and high-speed capabilities in image processing. Here we propose and design a reconfigurable all-optical diffractive neural network structure with digital non-volatile optical neurons. …”
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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…The paper synthesizes insights from a broad range of studies, tracing the evolution from traditional image processing methods to sophisticated DL techniques, such as Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs). …”
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Plant Leaf Disease Detection Using Integrated Color and Texture Features by Jayamala Kumar Patil and Vinay Sampatrao Mandlik

“…By leveraging advanced image processing techniques, the system enhances the precision of disease identification, which is crucial for timely and effective intervention in agricultural practices. …”
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Retracted: Image Target Detection Algorithm of Smart City Management Cases by Ping Tan, Kedun Mao, Sheng Zhou

“…The algorithm a hog-target detection describes the features of the object’s surface edges in areas such as graphics and image processing; and calculates the distribution of characteristics in the direction of inclination of the particular part of the image. …”
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Autonomous Streaming Space Objects Detection Based on a Remote Optical System by V. S. Baranova, V. A. Saetchnikov, A. A. Spiridonov

“…Traditional image processing techniques provide sustainable efficiency in the astrometry of deep space objects and in applied problems of determining the parameters of artificial satellite orbits. …”
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Application of Gabor Image Recognition Technology in Intelligent Clothing Design by Sujuan Qiao

“…Secondly, based on the consideration of improving the real-time performance of the intelligent clothing design system, combined with the existing multicore environment, this paper uses the intelligent model to design and implement the image parallel Gabor feature extraction algorithm and uses image processing and analysis technology to analyze the visual elements of traditional clothing and identify and quantify to form a relatively complete clothing visual element evaluation system, which provides a basis for large-scale collection and automated evaluation of clothing visual effects, as well as clothing trend tracking and prediction. …”
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Propagating speedups during quiescence escalate to the 2020–2021 surge of Sít’ Kusá, southeast Alaska by Jukes Liu, Ellyn M. Enderlin, Timothy C. Bartholomaus, Yoram Terleth, Thomas Dylan Mikesell, Flavien Beaud

“…We use satellite image processing techniques to measure surface elevation and velocity changes on a temperate surging glacier, Sít’ Kusá, throughout its entire 2013–2021 surge cycle. …”
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Study of the mechanical compression properties of Rosa sterilis S.D. Shi based on FEM by Siqian Wang, Peixuan Mao, Wenxin Feng, Yufei Yang, Yuelong Yu, Xinyue Hou, Zhiping Xie

“…Therefore, this study establishes a three-dimensional model of seedless prickly pear fruit based on image processing technology and analyzes the compressive mechanical properties of seedless prickly pear under different directions through experiments combined with finite element method simulation. …”
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Automated 3D semantic segmentation of PCB X-ray CT images and netlist extraction by Adrian Phoulady, Yara Suleiman, Hongbin Choi, Nicholas May, Sina Shahbazmohamadi, Pouya Tavousi

“…This paper presents an automated approach, combining image processing and machine learning, to achieve 3D semantic segmentation of PCB X-ray Computed Tomography (X-ray CT) images and subsequent netlist extraction. …”
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THE APPLICATION OF USING GEL PAD AS A MEDIUM FOR ULTRASOUND SHOULDER by Lelly Agustina Sisparwati, Rosy Setiawati, Berliana Devianti Putri

“…The analysis of image results is done using matlab image processing to assess SNR. The image quality obtained from the results of the questionnaire was assessed by a specialist in radiology. …”
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Preparation and Sound Insulation Performance of Superfine Metal Powder/Nitrile-Butadiene Rubber-Polyvinyl Chloride Microcellular Foaming Material by Sheng Hu, Jun Cai, Guofeng Liao, Qiang Fu

“…Analysis on the morphology of cross section, pore size, and pore distribution possessed by SFM/NBR-PVC was conducted by scanning electron microscopy (SEM), as well as the image processing software of Image-Pro. Then detailed discussion on the effect of SFM with different mass fractions in the matrix on the foaming quality was provided. …”
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Deep learning models for detection of explosive ordnance using autonomous robotic systems: trade-off between accuracy and real-time processing speed by Vadym Mishchuk, Herman Fesenko, Vyacheslav Kharchenko

“…The objectives are as follows: 1) conduct a comparative analysis of YOLOv8 and RT-DETR image processing models for explosive ordnance (EO) detection, focusing on accuracy and real-time processing speed;2) to explore the impact of different input image resolutions on model performance for identifying the optimal resolution for EO detection tasks;3) to analyze how object size (small, medium, large) affects detection efficiency for enhancing EO recognition accuracy; 4) to develop recommendations for EO detection model configurations; 5) to propose methods for enhancing EO detection model performance in complex environments. …”
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Optimizing Solar Energy Harvesting: A K‐Means Clustering Approach for Enhanced Efficiency and Viability by Li Bin, Muhammad Shahzad, Muhammad Farhan, Muhammad Sanaullah Khan, Mubaarak Abdulrahman Abdu Saif, Girmaw Teshager Bitew

“…The K‐means algorithm, a fundamental image processing technique, is utilized to classify images into distinct groups. …”
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