Texture feature column scheme for single‐ and multi‐script writer identification by Faycel Abbas, Abdeljalil Gattal, Chawki Djeddi, Imran Siddiqi, Ameur Bensefia, Kamel Saoudi

“…Abstract Identification of writers from images of handwriting is an interesting research problem in the handwriting recognition community. Application of image analysis and machine learning techniques to this problem allows development of computerised solutions which can facilitate forensic experts in reducing the search space against a questioned document. …”
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Prediction of Pore Size Characteristics of Needle-Punched Nonwoven Geotextiles Subjected to Uniaxial Tensile Strains by Lin Tang, Qiang Tang, Aolai Zhong, Hanjie Li

“…The variation of the fibre orientation with tensile strains and the corresponding effect on pore sizes has been evaluated by image analysis. The out-of-plane Poisson’s ratio and the in-plane Poisson’s ratio of geotextiles have been examined. …”
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Convolutional neural network prediction of the particle size distribution of soil from close-range images by Enrico Soranzo, Carlotta Guardiani, Wei Wu

“…In this study, we propose a convolutional neural network approach for predicting the particle size distribution using soil image analysis. Our model is trained on a diverse dataset of soil samples ranging from clayey silt to gravel. …”
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Effect of Cellulose Loading Ratio on Fiber-Matrix Bonding of LDPE-Based Biocomposite by Yoobsan Ejeta Amensisa, Hundessa Dessalegn Demsash, Muluken Eshetu Tefera

“…Based on SEM microstructure image analysis, moderate fiber-matrix interfacial bonding was observed. …”
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Automatic Estimation of Solar Rooftops and Power Generation From Publicly Available Satellite Imagery Through Georeferencing and Large-Scale Support by John Sullivan, Apichon Witayangkurn

“…Through satellite image analysis, this study aims to accurately identify and evaluate solar rooftops nationwide, providing valuable insights for homeowners, businesses, and government authorities. …”
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Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models. by Zenglei Liu, Ailian Gao, Hui Sheng, Xueling Wang

“…The majority of deep learning techniques developed for medical image analysis rely on convolutional modules to extract the inherent structure of images within a certain local receptive field. …”
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Unsupervised Anomaly Detection in Hyperspectral Imaging: Integrating Tensor Robust Principal Component Analysis With Autoencoding Adversarial Networks by Atsuya Emoto, Ryo Matsuoka

“…Hyperspectral (HS) image analysis has gained significant attention due to its ability to capture detailed spectral information across hundreds of bands, making it useful for environmental monitoring and mineral exploration applications. …”
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Brain tumor segmentation by deep learning transfer methods using MRI images by E.Y. Shchetinin

“…Brain tumor segmentation is one of the most challenging tasks of medical image analysis. The diagnosis of patients with gliomas is based on the analysis of magnetic resonance images and manual segmentation of tumor boundaries. …”
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A feature-based approach for atlas selection in automatic pelvic segmentation. by Guoping Shan, Xue Bai, Yun Ge, Binbing Wang

“…The proposed procedure also reduced computation time compared to cMAS, making it a promising tool for medical image analysis applications. In addition, we have evaluated two distinct atlas selection methods: the Feature-based Atlas Selection Approach (MAS-FASA) and the Similarity-based Atlas Selection Approach (MAS-SIM). …”
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Plasma Spraying and Characterization of Tungsten Carbide-Cobalt Coatings by the Water-Stabilized System WSP by Pavel Ctibor, Micheala Kašparová, Jeremy Bellin, Emmanuel Le Guen, František Zahálka

“…Basic characterization of coatings was done by XRD, SEM, and light microscopy plus image analysis. Microhardness was measured on polished cross-sections. …”
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A geometric morphometric approach for detecting different reproductive stages of a free-ranging killer whale Orcinus orca population by Chloe V. Robinson, Brittany C. Visona-Kelly

“…Yet, existing methods of image analysis are time-consuming and lack the granularity to determine early-stage pregnancies and miscarriage rates. …”
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Microscopic Characteristics of Fractured Sandstone after Cyclic Freezing-Thawing and Triaxial Unloading Tests by Xiaohui Ni, Xiaomei Shen, Zhende Zhu

“…The microcrack characteristics (number, length, and width) were obtained through the image analysis. The results show that the decrease in peak strength and damage dilatancy stress was more significant by the first 20 freezing-thawing cycles when the pore pressure gradient is maximum compared to the later freezing-thawing cycles. …”
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Automated Quantification of Neuropad Improves Its Diagnostic Ability in Patients with Diabetic Neuropathy by Georgios Ponirakis, Hassan Fadavi, Ioannis N. Petropoulos, Shazli Azmi, Maryam Ferdousi, Mohammad A. Dabbah, Ahmad Kheyami, Uazman Alam, Omar Asghar, Andrew Marshall, Mitra Tavakoli, Ahmed Al-Ahmar, Saad Javed, Maria Jeziorska, Rayaz A. Malik

“…The categorical output showed no significant difference in diagnostic efficacy for these same measures. An image analysis algorithm generating a continuous output (Sudometrics) improved the diagnostic ability of Neuropad, particularly in detecting autonomic and small fibre neuropathy.…”
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Automatic Adaptive Algorithm for Delineation of Cerebral-Spinal Fluid Regions for Non-contrast Magnetic Resonance Imaging Volumetry and Cisternography in Mice by Ryszard Gomolka

“…Despite the increasing use of artificial neural networks in image analysis, this analytical approach provides robustness, especially when the dataset is insufficiently small and limited for training the network. …”
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Cytotoxicity and Antibacterial Activity of Mineral Trioxide Aggregate Cement with Radiopacity Introduced by ZrO2 by Lidia Ciołek, Zbigniew Jaegermann, Ewa Zaczyńska, Anna Czarny, Monika Biernat, Arkadiusz Gąsiński, Agnieszka Jastrzębska, Michał Gloc, Andrzej Olszyna

“…The conditions of the culture upon contact with the tested materials or with extracts from the cements were assessed using image analysis or an MTT colorimetric assay. Two strains of streptococci, Streptococcus mutans and Streptococcus sanguinis, were used to study the antibacterial activity of the tested cements with ZrO2 acting as the agent introducing the radiopacity. …”
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Innovative Technologies for Studying the Impact of Climate Change on River Basins in the Guba-Khachmaz Region of Azerbaijan by Huseynova Gumru, Valiyeva Asmar, Tahmezli Elvira, Surkhayli Sanan, Tahmezli Matanat

“…It is possible to prepare a large database for forecasting by integrating accurate results of spatial image analysis into the GIS database from time to time. …”
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Optical Coupling Structures of Fiber-Optic Mach-Zehnder Interferometers Using CO2 Laser Irradiation by Chien-Hsing Chen, Chih-Yu Hsu, Pei-Hsing Huang, Jian-Neng Wang, Wei-Te Wu

“…The spacing value between the troughs of the sensor length and interference signal exhibited an inverse relationship. In addition, image analysis was employed to examine the size-matching relationship between various sensor lengths and the coupling and decoupling structure. …”
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The Relation between Body Mass Index and Retinal Photoreceptor Morphology and Microvascular Changes Measured with Adaptive Optics (rtx1) High-Resolution Imaging by Anna Zaleska-Żmijewska, Zbigniew Wawrzyniak, Magdalena Kupis, Jacek P. Szaflik

“…Conclusions. Retinal image analysis with rtx1 offers a novel noninvasive measurement of early changes in retinal vasculature that are not detectable during routine clinical examination. …”
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Development of algorithm for segmentation of handwritten text using masks by V. Yu. Kobenko, S. O. Frolov, V. I. Talalayev

“…Describes common methods of segmentation, allowing to solve this problem: method of color image analysis the binary image segmentation method of fixing level, as well as, a method for the separation and analysis of circuits. …”
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Deep attributes and decisions fusion for no-reference video quality analysis by Adil Baig

“…Previous research has also shown that features derived from pre-trained models of Convolutional Neural Networks (CNNs) are extremely useful in various image analysis and computer vision activities. Based on characteristics collected from pre-trained models of deep neural networks, transfer learning, periodic pooling, and regression, we created a unique architecture for No Reference Video Quality Assessment (NR-VQA) in this research. …”
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