Hydroacoustic Bottom Soil Profiling Device with Synthetic Aperture by A. V. Vagin, A. S. Vorotyntseva

“…The possibility of synthesizing the antenna aperture for an acoustic profiler of the bottom soil was studied. An algorithm for synthesizing the antenna aperture was investigated along with phase distortions of the trajectory signal and their influence on the sonar image. …”
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A General Framework for CFAR Detection in PolSAR Imagery Based on Quadratic Statistics by Ziyuan Yang, Liguo Liu, Xiaoyang Hou, Yinghui Quan, Xian Zhang, Tao Liu

“…Experimental results from both simulated and real data demonstrate that this approach exhibits superior detection performance across diverse application scenarios, significantly improving the accuracy and robustness of target detection in PolSAR images. The key strength of this framework lies in providing a novel, unified solution for PolSAR image processing, effectively integrating the rigor of statistical analysis for practical applications.…”
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The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses by Daniel J. Lee, Mohammad Hamghalam, Lily Wang, Hui-Ming Lin, Errol Colak, Muhammad Mamdani, Amber L. Simpson, John M. Lee

“…This proof-of-concept study aimed to develop an automated algorithm combining a convolutional neural network (CNN) for sinus segmentation with post-processing to compute LMS directly from CT scans. …”
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Performance Evaluation and Optimization of 3D Gaussian Splatting in Indoor Scene Generation and Rendering by Xinjian Fang, Yingdan Zhang, Hao Tan, Chao Liu, Xu Yang

“…Subsequently, based on this comparison, rigorous qualitative and quantitative evaluations are further conducted on the overall performance and detail processing capabilities of the 3DGS algorithm. Finally, to meet the specific requirements of indoor scene modeling and rendering, targeted parameter tuning is performed on the algorithm. …”
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DRHT: A Hybrid Mathematical Model for Accurate Ultrasound Probe Calibration and Efficient 3D Reconstruction by Xuquan Ji, Yonghong Zhang, Huaqing Shang, Lei Hu, Xiaozhi Qi, Wenyong Liu

“…Furthermore, high-precision calibration can be achieved with only four images, which greatly simplifies the calibration process and enhances the feasibility of the clinical application of this model.…”
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Multiperson Target Dynamic Tracking Method for Athlete Training Based on Wireless Body Area Network by Diandian Du

“…First, the microinertial sensor in the wireless body area network is used to collect the multiperson image data of the athlete training, and the sparse representation is performed after processing, which improves the reliability of the data and reduces the tracking error. …”
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Ensemble deep learning-enabled single-shot composite structured illumination microscopy (eDL-cSIM) by Jiaming Qian, Chunyao Wang, Hongjun Wu, Qian Chen, Chao Zuo

“…Moreover, the reliance of SIM on illumination parameters and algorithmic post-processing renders it vulnerable to reconstruction artifacts, especially at low signal-to-noise ratios. …”
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Design of an Active Laser Mini-Camera Detection System Using CNN by Chun Liu, Changming Zhao, Haiyang Zhang, Zilong Zhang, Yanwang Zhai, Yali Zhang

“…This article describes the system components including its optical design, core components and image processing algorithm. The capability of the system for detecting mini-cameras and identifying interference is also experimentally demonstrated. …”
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FPGA-Based Real-Time Moving Target Detection System for Unmanned Aerial Vehicle Application by Jia Wei Tang, Nasir Shaikh-Husin, Usman Ullah Sheikh, M. N. Marsono

“…This paper presents the development of real-time moving target detection System-on-Chip (SoC) using FPGA for deployment on a UAV. The detection algorithm utilizes area-based image registration technique which includes motion estimation and object segmentation processes. …”
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DYMRO-SLAM: A Robust Stereo Visual SLAM for Dynamic Environments Leveraging Mask R-CNN and Optical Flow by Hongjie Cui, Xin Zhao, Guanyao Luo

“…Specifically, the system separates dynamic targets from the stationary background during image processing stage to improve the accuracy of its localization in dynamic scenes; When processing key and non-keyframes, the system adopts feature point tracking and optical flow tracking, respectively, which greatly reduces computation time of descriptors and thus improves the real-time performance. …”
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Fibre-orientation-driven defect probability mapping for machining-induced delamination and burr minimisation in carbon fibre-reinforced polymer (CFRP) composites by Norbert Geier

“…Machining-induced burrs and delamination compromise the integrity of polymer composite components reinforced by chopped carbon tows. An image-based optimisation algorithm was therefore developed that locates the ideal hole centre within the preform allowance to minimise defect risk. …”
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Measuring the Phase of an Optical Field from Two Intensity Measurements: Analysis of a Simple Theoretical Model by Damien P. Kelly

“…Then, a deterministic but iterative algorithm is derived and we examine the characteristics and properties of this algorithm. …”
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Boosting grapevine phenological stages prediction based on climatic data by pseudo-labeling approach by Mehdi Fasihi, Mirko Sodini, Alex Falcon, Francesco Degano, Paolo Sivilotti, Giuseppe Serra

“…Solutions commonly used to address viticulture challenges rely on image processing techniques, which have achieved significant results. …”
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Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time–Frequency Analysis and VGG Convolutional Neural Network by Yaqing Liu, Yalin Wang, Tiancheng Wang

“…All three feature extraction methods achieved significant accuracy on the dataset. Using STFT for processing and combining it with VGG-16 for image classification achieved an average classification accuracy of 80.2% and a channel identification rate of 80.7% for epileptogenic zones. …”
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Polyscale gradients residual demosaicking by Bo Xu, Xiaoyu Wang, Jiao Zhang, Asghar A. Razzaqi

“…Demosaicking is a significant process in the imaging pipeline. It implicates the reconstruction of the missing two colour channels from an incomplete image obtained from a single-sensor digital camera. …”
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Pep-VGGNet: A Novel Transfer Learning Method for Pepper Leaf Disease Diagnosis by Süleyman Çetinkaya, Amira Tandirovic Gursel

“…A novel algorithm is introduced to improve image vibrancy, contrast, and colour properties. …”
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Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11 by Raiyen Z. Rakin, Mahmudur Rahman, Kanij F. Borsa, Fahmid Al Farid, Shakila Rahman, Jia Uddin, Hezerul Abdul Karim

“…A customized dataset was created with 9116 images collected from various platforms. The dataset was pre-processed, i.e., annotated, and after pre-processing, the proposed model was trained. …”
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Dual-Modal Approach for Ship Detection: Fusing Synthetic Aperture Radar and Optical Satellite Imagery by Mahmoud Ahmed, Naser El-Sheimy, Henry Leung

“…For SAR images, a customized Detection Transformer model, SAR-EDT, integrates advanced denoising algorithms and optimized pooling configurations. …”
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Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture by Gauri Kalnoor, Vijayalaxmi Kadrolli

“…Then, the Dung Beetle Optimization (DBO) algorithm enhanced with Levy flight optimization is implemented for effective image segmentation processes. …”
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Evaluating Material Parameter Influence on Drapability Using VStitcher by Malin Schiller, Soraya Flohr, Jeanne Marisol Delmas, Anja Krüger, Anne-Marie Miene, Patrizia Zimmermann, Lena Wolf, Miriam Seffers, Michelle-Sophie Ruchay-Drammeh, Ulrike Reinhardt, Lilia Sabantina

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