Protocol for 3D photogrammetry and morphological digitization of complex skulls by Naomi De Leo, Claudio Chimenti, Luigi Maiorano, Davide Tamagnini

“…We describe steps for setting up specimens for image acquisition, including camera and lighting configurations, and the subsequent image processing to generate high-quality 3D models. We also outline the extraction of morphological data for accurate geometric morphometric analyses. : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Improved ResNet algorithm based intelligent interference identification by Jian MA, Guangjin ZHANG, Lei ZHANG, Jingwei DAI

“…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
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Dark Signals in the Choroidal Vasculature on Optical Coherence Tomography Angiography: An Artefact or Not? by Rui Hua, Hailin Wang

“…Optical phenomena and image processing algorithms may create imaging artefacts. …”
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Some new existence results of positive solutions for anisotropic variable exponent operator by Rafik Guefaifia, Salah Boulaaras, Rashid Jan

“…These findings have significant implications for real-world applications, such as fluid dynamics, image processing, and material science, where variable growth conditions arise naturally. …”
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Segmentation of Activated Sludge Flocs in Microscopic Images for Monitoring Wastewater Treatment by Ahmed Elaraby, Walid Hamdy, Humaira Nisar, Monagi H. Alkinani

“…The morphological features of flocs (microbial aggregates) and filaments are related to the state of an activated sludge wastewater treatment plant and must be monitored for proper functioning. Hence, image processing and analysis could be a time-saving monitoring tool. …”
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Assessment of Human Sperm Kinematic Parameters Using Computer-Assisted Semen Analysis by Nazlı Irmak Karaark, Hüseyin Kurtuldu

“…Recent advancements have introduced computer-assisted systems with image processing capabilities to enhance sperm quality analysis. …”
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Methods for Determining the Size of three-Dimensional Objects in Images by L. V. Serebryanaya, V. N. Breshko

“…It consists of an image processing module, a module for calculating the size of objects, and a module for storing the received data. …”
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MicroCT-Based Methodology for Defect Detection and Analysis in GRFP Tube Joints by Cintia Ferreira, Olga M. O. Araújo, Alessandra Silveira Machado, Davi F. Oliveira, Gabriela Ribeiro Pereira, Ricardo Tadeu Lopes

“…The findings reveal that the micro-CT technique, when integrated with advanced image processing tools, is highly effective for detecting, locating, and quantifying defects.  …”
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Concatenated Attention: A Novel Method for Regulating Information Structure Based on Sensors by Zeyu Zhang, Tianqi Chen, Yuki Todo

“…This paper addresses the challenges of limited training data and suboptimal environmental conditions in image processing tasks, such as underwater imaging with poor lighting and distortion. …”
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SiCitra: Aplikasi Berbasis Web untuk Pemrosesan Citra Digital Menggunakan OpenCV by Lutfi Riani, Afnan Zahra, Fadly Kurniawan, Ihsan Lana Valenza, Fadhlan Zaki Darmansah, Gema Parasti Mindara, Endang Purnama Giri

“…Aplikasi ini menyediakan fitur manipulasi citra seperti seperti filter warna, deteksi tepi, image processing, rotasi & flip, emboss effect, brightness & contrast, Text Overlay hingga analisis warna melalui antarmuka intuitif. …”
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3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images by Zhuliang Qian, Lifeng Xie, Yisheng Xu

“…Brain tumor segmentation is an important content in medical image processing, and it is also a very common research in medicine. …”
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Ringworm Detection and Diagnosis System. by Asiimwe, Joab, Barigye, Deus Dedet

“…This report presents a novel ringworm detection system utilizing deep learning and image processing. We carried out our research within a period of seven months and our system performed the desired work. …”
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Improved Bat Algorithm Applied to Multilevel Image Thresholding by Adis Alihodzic, Milan Tuba

“…Multilevel image thresholding is a very important image processing technique that is used as a basis for image segmentation and further higher level processing. …”
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Multilevel Thresholding for Image Segmentation Using Mean Gradient by Abubakar M. Ashir

“…Image binarization and segmentation have been one of the most important operations in digital image processing and related fields. In spite of the enormous number of research studies in this field over the years, huge challenges still exist hampering the usability of some existing algorithms. …”
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Monocular Vision SLAM for Indoor Aerial Vehicles by Koray Çelik, Arun K. Somani

“…We experimentally validate the proposed algorithms on a fully self-contained microaerial vehicle (MAV) with sophisticated on-board image processing and SLAM capabilities. Building and enabling such a small aerial vehicle to fly in tight corridors is a significant technological challenge, especially in the absence of GPS signals and with limited sensing options. …”
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Computer simulation of diffractive imaging lenses using hyperspectral images by S.I. Kharitonov, V.A. Fursov

“…The central idea of the technology is to evaluate the quality of the optical system by matching the input and output images against criteria adopted in image processing. For this purpose, same-resolution hyperspectral images are fed to the input and generated at the output. …”
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Energy-Driven Image Interpolation Using Gaussian Process Regression by Lingling Zi, Junping Du

“…Image interpolation, as a method of obtaining a high-resolution image from the corresponding low-resolution image, is a classical problem in image processing. In this paper, we propose a novel energy-driven interpolation algorithm employing Gaussian process regression. …”
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Updated Methods for Seed Shape Analysis by Emilio Cervantes, José Javier Martín, Ezzeddine Saadaoui

“…The use of digital technologies, together with development of quantification and modeling methods, allows a better description of seed shape. Image processing systems are used in the automatic determination of seed size and shape, becoming a basic tool in the study of diversity. …”
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An Improved C-V Model and Application to the Coal Rock Mesocrack Images by Yulong Chen, Hongwei Zhang

“…In order to accurately and comprehensively obtain information about coal rock mesocrack images, image processing technique based on partial differential equation (PDE) is introduced in order to expound on the active contour model without edges and overcome the deficiency of the C-V model. …”
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Multiloop Parallelisation Using Unrolling and Fission by Yuet Ming Lam, José Gabriel F. Coutinho, Chun Hok Ho, Philip Heng Wai Leong, Wayne Luk

“…The approach is demonstrated using three applications: speech recognition, image processing, and the N-Body problem. Experimental results show that a maximum speedup of 34 is achieved on a 274 MHz FPGA for the N-Body over a 2.6 GHz microprocessor, which is 4.1 times higher than that of an approach without unrolling.…”
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