Search Results - image processing methods

Copper Stress Levels Classification in Oilseed Rape Using Deep Residual Networks and Hyperspectral False-Color Images by Yifei Peng, Jun Sun, Zhentao Cai, Lei Shi, Xiaohong Wu, Chunxia Dai, Yubin Xie

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Deep Learning in Medical Imaging: Chronological Evolution, Frameworks, Core Methods, and Recent Advances in Breast Cancer Segmentation (2023–2024) by Youness Riouali, Naoual El Aboudi, Nezha El Bahaoui, Othman Arsalan, Fouad Tijami, Hafid Hachi, Youssef Omor, Rachida Latib, Laila Benhlima

“…The advent of deep learning has revolutionized the processing and analysis of medical images. This paper reviews recent literature on deep learning applications in medical imaging, focusing specifically on segmentation and classification for disease diagnosis and treatment. …”
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Classification of Bitter gourd leaf disease using deep learning architecture ResNet50 by Artika Artika, Wikky Fawwaz Al Maki

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Exploring the State-of-the-Art Algorithms for Brain Tumor Classification Using MRI Data by Joice J Anish, D Ajitha

“…For doctors, finding and classifying brain tumor (BT) is a routine and difficult procedure. Digital image processing methods such as segmentation, classification, and pre-processing may assist medical practitioners in diagnosing certain forms of brain cancer, finding tumors, and observing small changes. …”
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Information processing pathway maps — A scalable framework for mapping cortical processing by Andrew Thwaites, Chao Zhang, Alexandra Woolgar

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Digits Recognition for Arabic Handwritten through Convolutional Neural Networks, Local Binary Patterns, and Histogram of Oriented Gradients by Bushra Mahdi Hasan, Zahraa Jasim Jaber, Ahmad Adel Habeeb

“…In addition, a Histogram of Oriented Gradients (HOG) is a feature extraction technique that is used in computer vision and image processing for the purpose of object detection. …”
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Recognition of vehicle light signals for smart traffic lights by K. S. Kurochka, D. V. Prokopenko, K. A. Panarin

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A Fire Segmentation Method with Flame Detail Enhancement U-Net in Multispectral Remote Sensing Images Under Category Imbalance by Rui Zou, Zhihui Xin, Guisheng Liao, Penghui Huang, Rui Wang, Yuhu Qiao

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Electrical Resistivity Tomography Methods and Technical Research for Hydrate-Based Carbon Sequestration by Zitian Lin, Qia Wang, Shufan Li, Xingru Li, Jiajie Ye, Yidi Zhang, Haoning Ye, Yangmin Kuang, Yanpeng Zheng

“…The results demonstrate that neural network algorithms—particularly RNNs—exhibit superior performance compared to traditional image reconstruction methods due to their strong noise resistance and nonlinear mapping capabilities. …”
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On the Synergy of Optimizers and Activation Functions: A CNN Benchmarking Study by Khuraman Aziz Sayın, Necla Kırcalı Gürsoy, Türkay Yolcu, Arif Gürsoy

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To compare the image quality of high resolution CT scan of temporal bone reconstructed using novel adaptive statistical iterative reconstruction-v technique with conventional filte... by V. Ruth Monica, P. Preethi

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Evaluation of the facial soft tissue thickness in a Brazilian in vivo population "facial soft tissue thickness in Brazilians" by Marília Moura Freitas da-Silva, Gabriela Granja Porto, Antônio Azoubel Antunes, Evelyne Pessoa Soriano, Marcus Vitor Diniz de-Carvalho, Rafael de Sousa Carvalho Saboia

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Innovative X-Ray Absorption Technology for Improved Monitoring of the Degradation and Oxidation of Granular Activated Carbon Filters Used in Hospital Water Treatment Systems by Jeamichel Puente Torres, Harold Crespo Sariol, Thayset Mariño Peacok, Tom Haeldermans, Guy Reggers, Jan Yperman, Peter Adriaensens, Robert Carleer, Dries Vandamme

“…This study introduces a novel, non-invasive X-ray absorption analysis (XRA) method to evaluate the photonic absorption process of granular activated carbon (GAC) in hospital water purification systems. …”
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Identification of Grass Weed Species Using YOLO5 Algorithm by Charlene Grace Rabulan, John Alfred Gascon, Noel Linsangan

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Mesomorphology of the solid soil phase: research methodology, results, prospects by S. F. Khokhlov, M. I. Gerasimova

“…In order to extend the sphere of mesomorphology application, some proposals to improve the method concerning sampling, photographic technique, computer processing of photographs are proposed, as well as indicating objects and purposes for most efficient application of mesomorphology. …”
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Analysis of Gearbox Bearing Fault Diagnosis Method Based on 2D Image Transformation and 2D-RoPE Encoding by Xudong Luo, Minghui Wang, Zhijie Zhang

“…To improve feature extraction from time-series data and enhance model robustness, this paper proposes an innovative method based on the ViT. Time-series data were converted into two-dimensional images using polar coordinate transformation and Gramian matrices to enhance classification stability. …”
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Image of a University Professor: Students’ Views and Priorities by M. A. Lukashenko, A. A. Ozhgikhina

“…The paper shows that the dominant features of the image are professors’ professionalism and expertise in a specific subject area, their pedagogical competence as an ability to implement productive educational process and an emotional intelligence. …”
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Extraction of Pavement Texture–Friction Surface Density Index Using High-Precision Three-Dimensional Images by Niangzhi Mao, Shihai Ding, Xiaoping Chen, Changfa Ai, Huaping Yang, Jiayu Wang

“…Subsequently, digital image processing technology was employed for the 3D reconstruction of pavement texture. …”
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Image quality assessment by Y. I. Golub

“…Quality assessment is an integral stage in the processing and analysis of digital images in various automated systems. …”
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Multiple-Image Encryption Based on Compressive Ghost Imaging and Coordinate Sampling by Xianye Li, Xiangfeng Meng, Xiulun Yang, Yongkai Yin, Yurong Wang, Xiang Peng, Wenqi He, Guoyan Dong, Hongyi Chen

“…A multiple-image encryption method that is based on a modified logistic map algorithm, compressive ghost imaging, and coordinate sampling is proposed. …”
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