Aircraft Detection for Remote Sensing Images Based on Deep Convolutional Neural Networks by Liming Zhou, Haoxin Yan, Yingzi Shan, Chang Zheng, Yang Liu, Xianyu Zuo, Baojun Qiao

“…Aircraft detection for remote sensing images, as one of the fields of computer vision, is one of the significant tasks of image processing based on deep learning. Recently, many high-performance algorithms for aircraft detection have been developed and applied in different scenarios. …”
Get full text

A review of the application of CIELAB colour systems for the development of gold and silver nano-enabled colorimetric assays for the detection of chromium by Sindisiwe Fortunate Shange, Phumlane Selby Mdluli, Nirmala Deenadayalu

“…Additionally, a rigorous evaluation of the photograph image processing is conducted.…”
Get full text

Green gram yield prediction using linear regression by Tumusiime, Robert, Mabirizi, Vicent, Mirembe, D.P, Arinanye, T.R

“…These approaches range from controlled ideal condition analysis by breeders to the use of advanced plant physiological feature analysis using satellite image processing techniques. While a number of popular crops like rice and maize have a number of models proposed, limited yield prediction studies have been done on neglected crops like green gram. …”
Get full text

A Mobile Image-Driven PM2.5 Estimation Framework Using Deep Learning Techniques by Anupam Kamble, Somrawee Aramkul, Paskorn Champrasert

“…This paper proposes using photo image processing to estimate the PM2.5 concentration. This research aims to improve the efficacy and reduce the computational complexity of the PM2.5 concentration estimation process. …”
Get full text

A Fusion Method Incorporating Dual-Attention Mechanism and Transfer Learning Into UNet++ for Remote Sensing Image Coastline Extraction by Yanru Song, Bai Xue, Yueyue Meng, Xiang Qin, Yixiao Li, Qi Liu

“…Traditional coastline recognition and extraction methods based on spectral features and image processing can only generate limited image feature results when facing the complex textures and spatial distributions of high-spatial resolution remote sensing images, leading to low accuracy in segmentation outcomes. …”
Get full text

Innovative Damage Assessment of Endodontic Instruments Based on Digital Image Stacking by Raúl Argüello-Sánchez, Ivette Alejandra Calderón-Alday, Antonio Hernández-Morales, Benjamín Gonzalo Rodríguez-Méndez, Diego Medina-Castro, Régulo López-Callejas, Carlo Eduardo Medina-Solís

“…This study proposes a novel system that leverages digital photography and advanced image processing techniques as a viable alternative to SEM. …”
Get full text

Numerical Test Study of the Microscale Failure Modes and Fractal Analysis of Lower Cambrian Shale Based on Digital Images by Hengtao Cui, Zhonghu Wu, Liping Li, Jing Wang, Shuguang Song, Shangqu Sun, Yujun Zuo, Hao Liu, Yili Lou

“…On the microscale, based on digital image processing technology, this paper characterizes the nonuniformity of minerals in shale, a numerical model that can reflect the true microstructure of shale. …”
Get full text

Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid S... by Jing Wu, Ana-Maria Philip, Dominika Podkowinski, Bianca S. Gerendas, Georg Langs, Christian Simader, Sebastian M. Waldstein, Ursula M. Schmidt-Erfurth

“…Evaluation of the intergrader annotations shows a good correlation, thus making the reproducibly annotated scans suitable for the training and validation of image processing and machine learning based segmentation methods. …”
Get full text

Construction of Multi-Scale Fusion Attention Unified Perceptual Parsing Networks for Semantic Segmentation of Mangrove Remote Sensing Images by Xin Wang, Yu Zhang, Wenquan Xu, Hanxi Wang, Jingye Cai, Qin Qin, Qin Wang, Jing Zeng

“…This study addresses three key challenges in mangrove monitoring: limited high-quality datasets, the complex spatial characteristics of mangrove distribution, and technical difficulties in high-resolution image processing. To address these challenges, we present two main contributions. (1) Using multi-source high-resolution satellite imagery from China’s new generation of Earth observation satellites, we constructed the Mangrove Semantic Segmentation Dataset of Beihai, Guangxi (MSSDBG); (2) We propose a novel Multi-scale Fusion Attention Unified Perceptual Network (MFA-UperNet) for precise mangrove segmentation. …”
Get full text

An advanced 3D lymphatic system for assaying human cutaneous lymphangiogenesis in a microfluidic platform by Minseop Kim, Sieun Choi, Dong-Hee Choi, Jinchul Ahn, Dain Lee, Euijeong Song, Hyun Soo Kim, Mijin Kim, Sowoong Choi, Soojung Oh, Minsuh Kim, Seok Chung, Phil June Park

“…In addition, we rapidly analyzed prolymphangiogenic effects using methods that incorporate a high-speed image processing system and a deep learning-based vascular network analysis algorithm by 12 indices. …”
Get full text

A generative adversarial network with multiscale and attention mechanisms for underwater image enhancement by Liquan Zhao, Yuda Li, Tie Zhong

“…This directly impacts tasks such as marine ecological monitoring and underwater target detection, which rely on image processing. Therefore, enhancing Underwater images to improve their quality is necessary. …”
Get full text

Pengenalan Jalan Berlubang Berbasis Vision Menggunakan Pyramid Histogram Of Oriented Gradients by Ahmad Habib Fitriansyah, Ema Rachmawati, Risnandar Risnandar

“…This article presents a new approach using image processing and machine learning to identify potholes on roads. …”
Get full text

Executive function deficit in patients with long COVID syndrome: A systematic review by Siti Maisarah Nasir, Noorazrul Yahya, Kah Hui Yap, Hanani Abdul Manan

Get full text

UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors by Yi Xu, Zhigang Chen, Ming Zhao, Fengxiao Tang, Yangfan Li, Jiaqi Liu, Nei Kato

“…Due to the advancement of image processing algorithms, the prevalence of surveillance ambient cameras shows promise for offering sub-meter accuracy localization services. …”
Get full text

Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

“…This jerk is largely due to the emergence and development of the technology of deep convolu onal neural networks.Recent developments in the fi eld of image processing and machine learning open up the prospect of crea ng systems based on ar fi cial neural convolu onal networks, superior to humans in problems of image classifi ca on, in par cular, in solving problems of analysis of various medical images. …”
Get full text

Derivation of Hyperspectral Profiles for Global Extended Pseudo Invariant Calibration Sites (EPICS) and Their Application in Satellite Sensor Cross-Calibration by Juliana Fajardo Rueda, Larry Leigh, Morakot Kaewmanee, Harshitha Byregowda, Cibele Teixeira Pinto

Get full text

Mesenchymal Stem Cell Transplantation for Liver Cell Failure: A New Direction and Option by Yantian Cao, Bangjie Zhang, Rong Lin, Qingzhi Wang, Jie Wang, Fangfang Shen

Get full text

SpikeDroidDB: AN INFORMATION SYSTEM FOR ANNOTATION OF MORPHOMETRIC CHARACTERISTICS OF WHEAT SPIKE by M. A. Genaev, E. G. Komyshev, Fu Hao, V. S. Koval, N. P. Goncharov, D. A. Afonnikov

“…The effectiveness of ears’ phenotyping can be improved by the introduction of an automated image processing technology, storage of information in databases, use of machine learning algorithms to analyze this information. …”
Get full text

Value of multi-parameter 123I-MIBG scintigraphy in the differential diagnosis of Parkinson’s disease by Teng Xue, Ying Cui, Ying Kan, Guanyun Wang, Jigang Yang

“…However, due to variations in scanning conditions and image processing methodologies, the clinical utility of different parameters remains a subject of debate. …”
Get full text

Accurately Tunable AuNC‐ZIF Content Architecture Based on Coordination‐Dissociation Mechanism Enables Highly Brightness Dual‐Site Fluorescent Biosensor by Junyang Chen, Yuqian Wang, Runpu Shen, Wei Li, Sainan Gao, Zhikang Xiao, Qiyan Lv, Xiaojie Song, Jianzhong Xu, Gaoxiang Xu, Huifang Cui, Zhaohui Li

“…By employing an image‐processing algorithm, quantitative detection is achieved with a detection limit of 0.07 ng mL⁻1. …”
Get full text