Spatial resolution of a preclinical PET tomograph by Guilherme Cavalcante de Albuquerque Souza, Rodrigo Modesto Gadelha Gontijo, Juliana Batista da Silva, Marcelo Mamede, Andréa Vidal Ferreira

“…Image reconstruction parameters followed the LIM standard protocol: MLEM-3D algorithm, 20 iterations, no high resolution mode, no attenuation or scatter corrections, no post-filtering. …”
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An Elliptic Kernel Unsupervised Autoencoder—Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing by Estefania Alfaro-Mejia, Carlos J. Delgado, Vidya Manian

“…Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. …”
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RGB-T Object Detection With Failure Scenarios by Qingwang Wang, Yuxuan Sun, Yongke Chi, Tao Shen

“…First, we design a multidimensional incremental information generation module based on a diffusion model, which reconstructs the unstable information of RGB-T images through the reverse diffusion process using the original fusion feature map. …”
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Metallographic Spheroidization Rate Classification by Using Deep Learning by Lin Chiu‐Chin, Pei‐Hsuan Chiang, Ke‐Hao Chen, Yu‐Jen Pan, Chung‐Hsien Chen, Wang Yi‐Shun, Jen‐Chun Lee

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Urban Tree Canopy Mapping and Analysis Using Iterative Annotation Method and Deep Learning: A Case Study in Beijing by Yulong Ding, Ximin Cui, Zhengchao Chen, Zeqing Wang, Debao Yuan, Xiang Meng, Xuan Yang, Yue Xu, Xiangyu Tian

“…By employing BUTCD and InternImage_T+UPerNet as the tree canopy segmentation network, we generated the UTC map for Beijing. …”
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A Constant False Alarm Rate Detection Method for Sonar Imagery Targets Based on Segmented Ordered Weighting by Wankai Na, Haisen Li, Jian Wang, Jiani Wen, Tianyao Xing, Yuxia Hou

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High capacity reversible hiding in encrypted domain based on cipher-feedback secret sharing by Minqing ZHANG, Chao JIANG, Fuqiang DI, Zongbao JIANG, Xiong ZHANG

“…To improve the security, robustness and embedding rate of reversible hiding in encrypted domain in the distributed environment, a multiple embedding algorithm based on cipher-feedback secret sharing was proposed.Firstly, the additional data were embedded into the polynomial coefficients redundancy generated in the process of secret image sharing.Secondly, the extra secrets were embedded by using the additive homomorphism of secret sharing.Experimental results demonstrate that a better security and robustness has been obtained by improving the diffusion characteristic of secret sharing using the feedback mechanism.In the (3,4) and (3,5) threshold, the embedding rates can reach 6.00 bit per pixel and 4.80 bit per pixel respectively.The proposed algorithm can not only maintain the strong security and separability, but also obtain a better embedding capacity.Meanwhile, the embedding rate of the scheme is not affected by the carrier image and is only related to the selection of algorithm parameters.…”
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A Brief Review of Hemp Fiber Length Measurement Techniques by Joia Green, Xiaorui Liu, Rong Yin

“…Nevertheless, current image processing techniques are limited by the inability to effectively handle overlapping fibers, which increases both the time and cost of testing. …”
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Intelligent Processing Methods by Veronika V. Tolmanova, Denis A. Andrikov

“…Nowadays, in the era of information technology, intelligent data processing methods play an important role in various spheres of life. …”
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Region-wise landmarks-based feature extraction employing SIFT, SURF, and ORB feature descriptors to recognize Monozygotic twins from 2D/3D Facial Images [version 2; peer review: 2... by Srikanth Prabhu, Vinod Nayak, Aparna Jayakala, Krishna Prakasha K, Gangothri Sanil

“…Background In computer vision and image processing, face recognition is increasingly popular field of research that identifies similar faces in a picture and assigns a suitable label. …”
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Comparison Study for Three Compression Techniques (Wavelet, Contourlet and Curvelet Transformation) by Shahad Sulaiman, Hadia Abdullah

“…In this research, the lossy compression method was adopted as one of the solutions that reduce the size of the data required to compress the image, through the process of compression of digital image data using Discrete Wavelet Transform algorithms using Haar filter, and Contourlet. …”
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Ship Target SAR Dataset Generation Based on Ray Tracing Including Multiple Scattering by Junjie Li, Ke Wu, Liuyan Wei, Chuanxiang Cheng, Gaohao Zhu

“…Finally, the raw echo signal of the ship target is processed by RD imaging algorithm, then the corresponding SAR simulated image is obtained. …”
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A lightweight and style-robust neural network for autonomous driving in end side devices by Sheng Han, Youfang Lin, Zhihui Guo, Kai Lv

“…The autonomous driving algorithm studied in this paper makes a ground vehicle capable of sensing its environment via visual images and moving safely with little or no human input. …”
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Automatic standard plane and diagnostic usability classification in obstetric ultrasounds by Adam Lim, Mohamed Abdalla, Farbod Abolhassani, Wyanne Law, Benjamin Fine, Dafna Sussman

“…Conclusion: The results highlight the algorithm's potential to be integrated into a clinical setting by serving as a reliable assistive tool, alleviating the cognitive workload faced by radiologists and enhancing efficiency and diagnostic outcomes in the current obstetric ultrasound process.…”
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Meta-Learning-Based Prediction of Different Corn Cultivars from Color Feature Extraction by Abdullah Beyaz, Dilara Gerdan

“…Each of nine color parameters (Rmin, Rmean, Rmax, Gmin, Gmean, Gmax, Bmin, Bmean, Bmax) which were obtained from original RGB color channels with maximum and minimum values was evaluated from the digital images of three different corn cultivar grains. The values were analyzed with the help of the Multilayer Perceptron (MLP), Decision Tree (DT), Gradient Boost Decision Tree (GBDT) and Random Forest (RF) algorithms by using the Knime Analytics Platform. …”
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Multi-Temporal Remote Sensing Satellite Data Analysis for the 2023 Devastating Flood in Derna, Northern Libya by Roman Shults, Ashraf Farahat, Muhammad Usman, Md Masudur Rahman

“…This workflow includes three parallel processes of data analysis. High-resolution GEOEYE-1 images of Derna city were investigated for change detection algorithms. …”
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Technical advantages bridging the preservation limits of painted decoration of Neolithic ceramic figurines by Ludmila Kaňáková, Vojtěch Nosek, Attila Kreiter, László Előd Aradi, Martin Košťál

“…DStretch, a key tool in this process, enhances colour contrasts in digital images to detect faint pigment traces, which are often overlooked in standard macroscopic analysis. …”
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Magnetic resonance imaging (MRI) radiomics in paediatric neuro-oncology: A systematic review of clinical applications, feature interpretation, and biological insights in the ch... by Teesta Mukherjee, Omid Pournik, Theodoros N Arvanitis

“…It assesses various approaches used in image pre-processing, tumour segmentation, feature extraction, and predictive model development to understand their accuracy and outcome, while it aims to understand the biological meaning and interpretation of radiomic features. …”
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ANALYSIS OF MUCOPOLYSACCHARIDOSIS TYPE 1 PROGRESSION BASED ON MRI DATA by E.V. Bogdanov

“…Results and conclusions. The algorithm has been implemented in the MATLAB programming environment, enabling automation of image processing, increased calculation accuracy, and ease of result interpretation. …”

Dance Movement Interference Suppression Algorithm Based upon Contour Model and AdaBoost Algorithm by Jiaxi Xu

“…With the development of computer technology, digital image processing, as an emerging field, has become an indispensable tool in the information society. …”
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