Development of a stereo vision-based UGV guidance system for bareroot forest nurseries by Sharif Shabani, Ashish R. Mulaka, Thomas A. Stokes, Tanzeel U. Rehman, Yin Bao

“…The system was first developed and validated in simulation using the Webots simulator integrated with the Robot Operating System (ROS). A depth image processing algorithm based on the Hough transform was employed to detect bed edge-lines, with the image-derived relative bed angle serving as the error signal for a proportional controller that corrected the vehicle’s heading and lateral deviation relative to the bed. …”
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Research on the Movement Patterns of Bed-load Streaky Structure Transport and the Mechanism of Fluid-solid Coupling by YAO Jiateng, XIE Xiaoxi, WANG Hao, ZHAO Lin, XIE Haonan, ZHEN Rongtian

“…The flow fields were then calculated by using a multi-grid iterative image deformation algorithm, yielding detailed results at different locations. …”
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Enhancing Adversarial Transferability With Intermediate Layer Feature Attack on Synthetic Aperture Radar Images by Xuanshen Wan, Wei Liu, Chaoyang Niu, Wanjie Lu, Yuanli Li

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Information and measuring system for geometric and motion parameters determination of industrial products by their video images by Yurii Podchashynskyi, Oksana Luhovykh, Anna Polianska, Volodymyr Nevmerzhytskyi

“…Modern hardware and software such as a digital video camera and a computing module (personal computer); Python programming language with the OpenCV image processing library are used to build the system ensuring the measurement of geometric and motion parameters of products. …”
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Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy by Tobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, Melda Kunduk, Matthias Echternach, Stephan Dürr, Julia Werz, Michael Döllinger

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Classification of Hybrid and Peking Duck DOD Varieties Based on Feather Images Using CNN by Khoironi, I Wayan Rangga Pinastawa

“…In this study, a deep learning approach with the Convolutional Neural Network (CNN) algorithm was applied to classify DOD varieties based on feather images. …”
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Attention-driven UNet enhancement for accurate segmentation of bacterial spore outgrowth in microscopy images by Saqib Qamar, Dmitry Malyshev, Rasmus Öberg, Daniel P. G. Nilsson, Magnus Andersson

“…Abstract Analyzing microscopy images of large growing cell samples using traditional methods is a complex and time-consuming process. …”
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Intelligent Recognition Technology for the Segmentation of Traffic Indication Images Concerning Different Pavement Materials by Juanhong Xie, Guojian Shi, Weizhi Zhu

“…Besides, the adaptive median filter (AMF) algorithm is used to pre-process and protect the traffic indication images without obscuring them. …”
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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

“…Furthermore, transformer-based models have been utilized to tackle medical image processing problems by capitalizing on global connections among distant pixels in the images. …”
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Let’s Practice Better... on Cats: Description and Visualisation of Artistic Images in Generative AI Models by Ruslan Khandogin, Nina S. Proner

“…Consideration of the operational quality of algorithms for keyword system extraction and image generation is deemed possible from the point of view of their structural organisation. …”
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Tuberculosis Lesion Segmentation Improvement in X-Ray Images Using Contextual Background Label by Sahasat Khumang, Supaporn Kansomkeat, Wiwatana Tanomkiat, Sathit Intajag

“…To detect PTB at an early stage by screening chest X-Ray (CXR) images for tuberculosis (TB) lesions, we propose a semantic segmentation scheme that uses a deep learning algorithm. …”
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EFFC-Net: lightweight fully convolutional neural networks in remote sensing disaster images by Jianye Yuan, Xin Ma, Zhentong Zhang, Qiang Xu, Ge Han, Song Li, Wei Gong, Fangyuan Liu, Xin Cai

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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

“…This work presents an automated welding inspection system based on a neural network trained through a series of 2D images of welding seams obtained in the same study. …”
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Deep learning-based automation for segmentation and biometric measurement of the gestational sac in ultrasound images by Hafiz Muhammad Danish, Zobia Suhail, Faiza Farooq

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Robust zero-watermarking for color images using hybrid deep learning models and encryption by Hager A. Gharib, Noha M. M. Abdelnapi, Khalid M. Hosny

“…Many existing methods fail to extract stable and distinguishable features, making them vulnerable to image distortions such as compression, filtering, and geometric transformations. …”
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Detection of Epilepsy Disorder Using Spectrogram Images Generated From Brain EEG Signals by Venkatesh Bhandage, Tejeswar Pokuri, Devansh Desai, Andrew Jeyabose

“…In this paper, we propose a deep learning based approach for the early detection of epilepsy via EEG Spectrogram images. The proposed approach is 3-fold. First, we propose an algorithm to generate spectrogram images from the EEG signals, and then, we adapt an efficient Convolutional Neural Network (CNN) model to classify the spectrogram images. …”
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AAMS-YOLO: enhanced farmland parcel detection for high-resolution remote sensing images by Binyao Wang, Ya’nan Zhou, Weiwei Zhu, Li Feng, Jinke He, Tianjun Wu, Jiancheng Luo, Xin Zhang

“…Extensive experiments on a custom-built dataset validate AAMS-YOLO's effectiveness, demonstrating notable enhancements over the baseline in mAP0.5 (2.6%) and mAP0.5:0.95 (2.2%) and surpassing other state-of-the-art algorithms. The proposed model excels in detecting small and densely overlapping objects through advanced feature fusion and multi-scale processing strategies.…”
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Target Recognition Method Based on Graph Structure Perception of Invariant Features for SAR Images by Jingyi CAO, Yang ZHANG, Ya’nan YOU, Yamin WANG, Feng YANG, Weijia REN, Jun LIU

“…This method employs a dual-branch network to process multiview SAR images simultaneously using a rotation-learnable unit to adaptively align dual-branch features and reinforce invariant features with rotational immunity by minimizing intraclass feature differences. …”
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Diagnostic Models for Differentiating COVID-19-Related Acute Ischemic Stroke Using Machine Learning Methods by Eylem Gul Ates, Gokcen Coban, Jale Karakaya

“…Radiomic features were extracted from brain MR images following image processing steps. Various feature selection algorithms were applied to identify the most relevant features, which were then used to train and evaluate machine learning classification models. …”
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Identification of Papua Cenderawasih Batik Motifs using Local Binary Pattern and K-Nearest Neighbor by Dian Dwi Ariani, Sitti Zuhriyah, Eva Yulia Puspaningrum, Mahabintang Pallawabonang

“…The results of this study show that image processing technology could help protect Papuan batik. …”
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