Efficient Malaria Parasite Detection From Diverse Images of Thick Blood Smears for Cross-Regional Model Accuracy by Yuming Zhong, Ying Dan, Yin Cai, Jiamin Lin, Xiaoyao Huang, Omnia Mahmoud, Eric S. Hald, Akshay Kumar, Qiang Fang, Seedahmed S. Mahmoud

“…This integration involves image acquisition and algorithmic detection of malaria parasites in various thick blood smear (TBS) datasets sourced from different global regions, including low-quality images from Sub-Saharan Africa. …”
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A Multi-Objective Gray Consistency Correction Method for Mosaicking Regional SAR Intensity Images with Brightness Anomalies by Jiaying Wang, Xin Shen, Deren Li, Litao Li, Yonghua Jiang, Jun Pan, Zezhong Lu, Wei Yao

“…In the process of mosaicking regional synthetic aperture radar (SAR) intensity images, multiple images with significant brightness anomalies can cause a considerable number of pixels to exceed the grayscale quantization range. …”
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Assessing the consistency of CT-based ventilation imaging under noise reduction processing with simulated quantum noise using a nonrigid alveoli phantom by Shin Miyakawa, Hiraku Fuse, Kenji Yasue, Norikazu Koori, Masato Takahashi, Hiroki Nosaka, Shunsuke Moriya, Fumihiro Tomita, Tatsuya Fujisaki

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Accurate Extraction of Rural Residential Buildings in Alpine Mountainous Areas by Combining Shadow Processing with FF-SwinT by Guize Luan, Jinxuan Luo, Zuyu Gao, Fei Zhao

“…Precise extraction of rural settlements in alpine regions is critical for geographic data production, rural development, and spatial optimization. …”
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Use of Sentinel-2 optical imagery for the reconstruction of coastal bathymetry: a case study in Mozambique by Francesco Varni, Bianca Federici, Alfonso Quarati, Michele Bolla Pittaluga, Monica De Martino

“…Bathymetric surveys are essential for ensuring safe navigation and supporting environmental studies in coastal regions. Collecting bathymetry data in the field using acoustic sonars allows us to accurately reproduce underwater topography but is limited by high operational costs and challenges that may arise when operating in shallow waters or unsafe areas due to political instability. …”
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Deep learning for predicting myopia severity classification method by WangMeiYu Xing, XiaoNa Li, JingShu Ni, YuanZhi Zhang, ZhongSheng Li, Yong Liu, YiKun Wang, Yao Huang

“…Then, the model is trained using fivefold cross-validation, leveraging dynamic convolution and depthwise separable convolution to extract features from each fundus image and classify the severity of myopia. Next, Grad-CAM is employed to visualize the model’s decision-making process, highlighting the regions contributing to classification. …”
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Automated Segmentation of Breast Cancer Focal Lesions on Ultrasound Images by Dmitry Pasynkov, Ivan Egoshin, Alexey Kolchev, Ivan Kliouchkin, Olga Pasynkova, Zahraa Saad, Anis Daou, Esam Mohamed Abuzenar

“…A method is proposed that includes two stages of video image processing: (1) searching for a region of interest using a random forest classifier, which classifies normal tissues, (2) selecting the contour of the lesion based on the difference in brightness of image pixels. …”
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Parallel region growing of half-tone images based on selected average brightness of the area along the growth route by V. Yu. Tsviatkou

“…Segmentation divides an image into regions formed from pixels with approximately the same brightness, and is a computationally complex operation due to multiple checks of the value of each pixel for the possibility of joining an adjacent region. …”
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MAFONN-EP: A Minimal Angular Feature Oriented Neural Network based Emotion Prediction system in image processing by L.B. Krithika, G.G. Lakshmi Priya

“…Initially, the input video sequence are categorized into image frames that are pre-processed by eliminating the noise by using Weighted Median Filtering (WMF) technique and to separate the background and foreground regions using Edge Preserved Background Separation and Foreground Extraction (EPBSFE) technique. …”
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COVID-19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier by Kenan Morani, Esra Kaya Ayana, Dimitrios Kollias, Devrim Unay

“…Additionally, investigating the integration of advanced image processing techniques, such as automated region of interest detection and segmentation algorithms, could enhance the efficiency and accuracy of COVID-19 diagnosis.…”
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Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images by N.S. Demin, N.Y. Ilyasova, R.A. Paringer, D.V. Kirsh

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Image of Present in Light of Local Patriotism Category: Analysis of Informational Balance of Communicative-Textual Environment of Volgograd Region by Milovanova, Terentyeva

“…The variety of presentation of different types of facts (information, event, situation, phenomenon, process) in the regional media and the dynamism of the constructed image of the present are shown. …”
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Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things by Meixia Fu, Jiansheng Wu, Qu Wang, Lei Sun, Zhangchao Ma, Chaoyi Zhang, Wanqing Guan, Wei Li, Na Chen, Danshi Wang, Jianquan Wang

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Regional Press and Censorship in the New Economic Policy Period (Saratov, Samara Regions and the German Autonomy) by Anna V. Khroustaleva

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Structure of a territorial brand by Maria A. Belyaeva

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Unmanned aerial vehicle image detection of maize-YOLOv8n seedling leakage by Jiaxin Gao, Feng Tan, Jiapeng Cui, Zhaolong Hou

“…Therefore, this study proposed a method for detecting missing seedling in fields based on UAV remote sensing to quickly and accurately detect missing seedling and facilitate subsequent crop management decisions.MethodsThe method calculates the rated inter-seedling distance in UAV-captured images of maize fields using a combination of image processing techniques, including background segmentation, stalk center region detection, linear fitting of plant rows, and average plant distance calculation. …”
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A Recognition Technology of Transmission Lines Conductor Break and Surface Damage by ZENG Jun, ZHAO Zi-gen, LIU Jing-li, LIU Hong-jun, CAO Lei, GENG Shao-bo, WAN Hong-yan

“…In order to find out the potential strands break and damage faults and prevent its further deterioration, a recognition method of conductor break and surface defects in transmission lines′ unmanned aerial vehicle (UAV) inspection is presented in this paper. First, a conductor image is obtained by the UAV image acquisition system, and then, the conductor region is extracted by the adaptive threshold segmentation after the enhancement processing by the gray variance normalization method (GVN). …”
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DSNet enables feature fusion and detail restoration for accurate object detection in foggy conditions by Zhiyong Jing, Zhaobing Chen, Yucheng Shi, Lei Shi, Lin Wei, Yufei Gao

“…To address these challenges, we propose a novel network, DehazeSRNet(DSNet), which is designed to optimize feature transmission and restore lost image details. First, DSNet utilizes the dehaze fusion network (DFN) to learn dehazing features, applying differentiated processing weights to regions with light and dense fog. …”
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A New Gradient Based Surface Defect Detection Method for the Ceramic Tile by Murat Alparslan Güngör

“…In the proposed method, first, the user selects the homogenous region in the image. Then the gradient-based image processing algorithm is applied. …”
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Quantitative Evaluation Method for the Severity of Surface Fuzz Defects in Carbon Fiber Prepreg by Yutong Liu, Mei Sang, Yusheng Liu, Haojun Lin, Xueming Wang, Tiegen Liu

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