A Review on Automated Detection and Identification Algorithms for Highway Pavement Distress by Zhenglong Lv, Zhexin Hao, Yuhan Zhu, Cong Lu

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ADVANCEMENTS IN TRANSFER LEARNING: A COMPREHENSIVE REVIEW OF NOVEL APPROACHES FOR MRI BRAIN IMAGE DIAGNOSIS by Diyar Waysi, Berivan Tahir Ahmed, Hajar Maseeh Yasin

“…Current research indicates potential challenges in adapting existing supervised deep learning algorithms that process MRI images to more efficient approaches. …”
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A Deep Learning Based Analysis of the Big Five Personality Traits from Handwriting Samples Using Image Processing by Ahmed Elngar, Nikita Jain, Divyanshu Sharma, Himani Negi, Anuj Trehan, Akash Srivastava

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Multicomponent MR Image Denoising by José V. Manjón, Neil A. Thacker, Juan J. Lull, Gracian Garcia-Martí, Luís Martí-Bonmatí, Montserrat Robles

“…Magnetic Resonance images are normally corrupted by random noise from the measurement process complicating the automatic feature extraction and analysis of clinical data. …”
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Estimating Chlorophyll-<i>a</i> and Phycocyanin Concentrations in Inland Temperate Lakes across New York State Using Sentinel-2 Images: Application of Google Earth Engine for Effic... by Sara Akbarnejad Nesheli, Lindi J. Quackenbush, Lewis McCaffrey

“…We used Google Earth Engine (GEE) as a cloud computing platform to develop an efficient methodology to process Sentinel-2 image collections at a large spatial and temporal scale. …”
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Enhanced Infrared Defect Detection for UAVs Using Wavelet-Based Image Processing and Channel Attention-Integrated SSD Model by Jining Zhao, RuiZhi Zhang, Shaogong Chen, Yanbo Duan, Zhiyuan Wang, Qingchen Li

“…In this paper, we develop a defect target detection algorithm based on image processing and feature matching to address background noise in the detection of defects in infrared images of Unmanned Aerial Vehicle (UAVs), as well as to improve real-time monitoring capabilities. …”
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An Analysis of the Movement Trajectories of the Endangered <i>Acipenser gueldenstaedtii</i> in Ammonia-Supplemented Environments Using Image Processing Methods by Beytullah Ahmet Balci, Güray Tonguç, Muhammed Nurullah Arslan, İlker Zeki Kurtoğlu, Tuba Sari

“…For image processing operations, the optical flow Farneback object-tracking algorithm and necessary image development algorithms were implemented using Python 3.9.13 Programming language codes in the Visual Studio Code software 1.98.2 development environment. …”
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Design of Image Processing Technology Support System in Human-Computer Collaborative Visual Design Assisted by Artificial Intelligence Technology by Yan Song

“…The algorithm uses generalized mapping to scramble the picture and then expands and replaces the scrambled pictures one by one through the image processing technical support system. …”
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IMAGE DEHAZING USING FAST ITERATIVE DOMAIN GUIDED IMAGE FILTERING WITH GRAY WORLD OPTIMIZATION by Bhaskar Reddy Bada, Mahaboob Basha S, Imran Khan Patan, Eramma Boda

“…When remote sensing photos are taken, they are often captured in hazy circumstances such as fog, snow, thin clouds, dust, and other similar situations, which causes the contrast in the image to decrease. The term "dehazing" refers to the process of removing haze or other atmospheric pollutants from a photograph. …”
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Versatile cataract fundus image restoration model utilizing unpaired cataract and high-quality images by Zheng Gong, Zhuo Deng, Weihao Gao, Wenda Zhou, Yuhang Yang, Hanqing Zhao, Lei Shao, Wenbin Wei, Lan Ma

“…Furthermore, the universal restoration ability that Catintell-Res gained from unpaired cataract images can process cataract images from various datasets. …”
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Development of a multidimensional data model for efficient content-based image retrieval in big data storage by Stanislav Danylenko, Serhii Smelyakov

“…The task is to: analyze modern approaches and solutions for effective content-based image retrieval, formulate the problem and requirements for the search system; develop a model that will effectively process descriptors and place them inside in such a way as to minimize the number of descriptors with which comparisons need to be made during the search; develop a search algorithm; develop metrics, perform experiments and compare the results obtained with analogs. …”
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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans by Abdullah Al-Saleh, Ghanshyam G. Tejani, Shailendra Mishra, Sunil Kumar Sharma, Seyed Jalaleddin Mousavirad

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Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots by Bharathi V, Natraj N A, Gopinath S, Kiruthikaa R

“…This article provides an overview of digital image processing, highlighting the main concepts and introducing key algorithms. …”
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Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis by Jaskaran Singh Walia, Kavietha Haridass, L. K. Pavithra

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Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning by Peter Werner Egger, Gidugu Lakshmi Srinivas, Mathias Brandstötter

“…This study presents a real-time force point detection and tracking system using a custom-fabricated soft elastomeric capacitive sensor array in conjunction with image processing and machine learning techniques. …”
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Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

“…This proves to be a barrier in the analysis of large multi-center studies and is a particularly salient problem given the relative scarcity of neonatal imaging data. We provide an objective, data-driven, and semi-automated neonatal processing pipeline designed to harmonize compartmentalized variant data acquired under different parameters. …”
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Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept by S. Prabakaran, S. Mary Praveena

“…Next, the pre-processing of the collected images is accomplished by the Weiner filter technique. …”
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Single image super-resolution via Image Quality Assessment-Guided Deep Learning Network. by Zhengqiang Xiong, Manhui Lin, Zhen Lin, Tao Sun, Guangyi Yang, Zhengxing Wang

“…In recent years, deep learning (DL) networks have been widely used in super-resolution (SR) and exhibit improved performance. In this paper, an image quality assessment (IQA)-guided single image super-resolution (SISR) method is proposed in DL architecture, in order to achieve a nice tradeoff between perceptual quality and distortion measure of the SR result. …”
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Novel Automatic Classification Method for Geological Structures in Carbonate Formations Based on Electrical Imaging Logging by FU Yafeng, HUANG Ke, ZHU Hanbin, WANG Hui, ZHANG Xu, ZHAO Jie, XIAO Ni

“…First, an improved K-means clustering algorithm is used to segment regions of interest from the electrical imaging data. …”
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Evaluation of Urban Street Historical Appearance Integrity Based on Street View Images and Transfer Learning by Jiarui Xu, Yunxuan Dai, Jiatong Cai, Haoliang Qian, Zimu Peng, Teng Zhong

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