A Registration Method for Historical Maps Based on Self-Supervised Feature Matching by Zikang Qin, Yumin Feng, Gang Wu, Qing Dong, Tianxin Han

“…We then developed an enhanced SuperGlue-based registration framework, optimized for the specific obstacles posed by historical maps, such as low texture and large image size. Additionally, we proposed a self-supervised fine-tuning feature extraction algorithm and a Transformer-based architecture utilizing graph attention mechanisms to refine feature descriptors and enhance feature matching performance. …”
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Advanced Brain Tumor Segmentation With a Multiscale CNN and Conditional Random Fields by Ala Guennich, Mohamed Othmani, Hela Ltifi

“…These modifications allow us to reduce the number of layers in our network while significantly improving the accuracy of 3D medical image segmentation. For post-processing the network’s soft segmentation, we employ a 3D fully connected Conditional Random Field, which effectively removes false positives. …”
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Respirable particles from cutting and grinding ceramic tiles: A Scanning Electron Microscopy investigation by Silvia Contessi, Francesca Borghi, Francesca Graziosi, Francesco S. Violante

“…An automated microscopy workflow based on image analysis with a trained deep learning algorithm was applied. …”
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Three-Dimensional Object Recognition Using Orthogonal Polynomials: An Embedded Kernel Approach by Aqeel Abdulazeez Mohammed, Ahlam Hanoon Al-sudani, Alaa M. Abdul-Hadi, Almuntadher Alwhelat, Basheera M. Mahmmod, Sadiq H. Abdulhussain, Muntadher Alsabah, Abir Hussain

“…It is based on different signal reprocessing techniques; therefore, developing efficient techniques becomes essential to achieving fast and reliable processing. Various signal preprocessing operations have been used for computer vision, including smoothing techniques, signal analyzing, resizing, sharpening, and enhancement, to reduce reluctant falsifications, segmentation, and image feature improvement. …”
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Background dictionary construction-based sparse representation hyperspectral target detection by Tao Yang, Lin Feipeng, Yang Wen, Weng Shan

“…Simulation results on four public hyperspectral image datasets show that the proposed algorithm has excellent detection performance.…”
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Parallel Primal-Dual Method with Linearization for Structured Convex Optimization by Xiayang Zhang, Weiye Tang, Jiayue Wang, Shiyu Zhang, Kangqun Zhang

“…Applications in Fused LASSO and image inpainting demonstrate the method’s efficiency in computation time and convergence rate compared to state-of-the-art algorithms.…”
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Application research of 3D virtual interactive technology in interactive teaching of arts and crafts by Mingqi Yao

“…For this reason, the research proposes an image denoising model based on convolutional neural network and wavelet transform, which adopts residual neural network structure and batch normalization algorithm, aiming at gradient explosion and gradient disappearance that may be caused by convolutional neural network, And the problem of low training efficiency has been optimized. …”
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Artificial Intelligence-based Rice Variety Classification: A State-of-the-art Review and Future Directions by Md. Masudul Islam, Galib Muhammad Shahriar Himel, Md. Golam Moazzam, Mohammad Shorif Uddin

“…The study examines key steps in the automation process, including image acquisition, pre-processing, feature extraction, and classification algorithms, with particular emphasis on machine learning and deep learning methods such as Convolutional Neural Networks (CNNs), which have demonstrated exceptional performance in recent research. …”
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High-stability electrohydrodynamic inkjet printing based on double closed-loop fuzzy control by Yifang Liu, Yiman Chen, Huangping Yan, Junyu Chen, Huatan Chen, Shufan Li, Xiang Cheng, Gaofeng Zheng

“…A closed-loop control based on the fuzzy control algorithm has been designed to monitor the EHD printing system by taking the feedback information from micro-current and jet image. …”
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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…Hyperspectral imaging (HSI) can capture a large amount of spectral information at various wavelengths, enabling detailed material classification and identification, making it a key tool in remote sensing, particularly for coastal area monitoring. …”
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Foreign object recognition for mine conveyor belt iron separators based on transfer learning with EfficientNet by Hailong YANG, Yiping YUAN, Panpan FAN, Lu XIAO, Feiyang ZHAO, Shaoke YUAN

“…Contrast Limited Adaptive Histogram Equalization was applied to pre-process low-illumination images, enhancing image contrast and clarity. …”
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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…Results AI-based models exhibit remarkable performance in skin cancer detection by leveraging advanced deep learning algorithms, image processing techniques, and feature extraction methods. …”
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Two Dimensional Position Correction Algorithm for High-Squint Synthetic Aperture Radar in Wavenumber Domain Algorithm by Shuai Wang, Chen Song, Bingnan Wang, Jie Chen, Lixia Yang, Zhixiang Huang

“…The <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ω</mi><mo>−</mo><mi>k</mi></mrow></semantics></math></inline-formula> imaging algorithm process is adjusted, and the correction factor is embedded into the imaging process to achieve offset-free, high-resolution imaging in the case of high-squint SAR.…”
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A monitoring network SIMNet for weld penetration status based on multimodal fusion by Qi Jiang, Yiming Wang, Yan Kong, Yu Liu, Ce Ma

“…Abstract This paper primarily addresses the challenges posed by the difficulties in directly measuring the fusion width at the bottom of the weld and in real-time monitoring of the penetration state during the groove welding process. It focuses on the research of online penetration state monitoring technology, which utilizes multi-modal signals such as sound and image during the welding process. …”
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Plantention: A general-purpose, lightweight and attention-based model for multi-crop leaf disease classification by Brindha Subburaj, Rohan M, Samhruth Ananthanarayanan, Daehan Won

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A Hierarchical Machine Learning-Based Strategy for Mapping Grassland in Manitoba’s Diverse Ecoregions by Mirmajid Mousavi, James Kobina Mensah Biney, Barbara Kishchuk, Ali Youssef, Marcos R. C. Cordeiro, Glenn Friesen, Douglas Cattani, Mustapha Namous, Nasem Badreldin

“…The impact of raster data quality on grassland classification accuracy was assessed through multisensor image fusion. Grassland classification using the Hue, Saturation, and Value (HSV) fused images showed higher OA (59.18%) and Kappa values (0.36) than the Brovey Transform (BT) and non-fused images. …”
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Water Body Extraction Method Based on ConvNeXt and Dual Feature Extraction Branch by ZHOU Ke, CHANG Ranran, XU Xizhi, MIAO Ru, ZHANG Guangyu, WANG Jiaqian

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Technologies and Algorithms for Building the Augmented Reality by I. A. Blagoveshchenskiy, N. A. Demyankov

“…Both of them give vast functional capabilities in image processing and object recognition. At the end of the article is given an example of creating AR using the OpenCV library. …”
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Comparative analysis of object tracking algorithms by B. A. Zalesky, V. A. Ivanyukovich, K. V. Reer, D. A. Starikovich

“…In the used trackers, drone detection in video frames is carried out using a neural network detector, and tracking is done with the help of the neural network detector and developed tracking algorithms.Methods. To perform a comparative analysis of object tracking algorithms, two datasets consisting of video frames that contain drone images were created and labeled. …”
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Voice Security Using Hybrid Algorithm by Alyaa Abdul Majeed Haleem

“…This research deals with constructing and implementing a new digital voice security Algorithm based on hiding large amount of data (sound file) in a 24 bits host color image (RGB image). …”
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