Diagnosis on Ultrasound Images for Developmental Dysplasia of the Hip with a Deep Learning-Based Model Focusing on Signal Heterogeneity in the Bone Region by Hirokazu Shimizu, Ken Enda, Hidenori Koyano, Takuya Ogawa, Daisuke Takahashi, Shinya Tanaka, Norimasa Iwasaki, Tomohiro Shimizu

“…The images were analyzed using algorithms such as HigherHRNet-W48. …”
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A Secure COVID Affected CT Scan Image Encryption Scheme Using Hybrid MLSCM for IoMT Environment by Sasmita Padhy, Sachikanta Dash, Naween Kumar, Gyanendra Kumar

“…Row-wise and column-based permutation algorithms further enhance security by disrupting statistical processes. …”
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Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

“…This paper introduces a biologically inspired detection algorithm to locate koalas in eucalyptus plantations and evaluates its performance against ten other detection techniques, including both image processing and neural-network-based approaches. …”
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Task-Driven Real-World Super-Resolution of Document Scans by Maciej Zyrek, Tomasz Tarasiewicz, Jakub Sadel, Aleksandra Krzywon, Michal Kawulok

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Alzheimer’s Prediction Methods with Harris Hawks Optimization (HHO) and Deep Learning-Based Approach Using an MLP-LSTM Hybrid Network by Raheleh Ghadami, Javad Rahebi

“…Early diagnosis is essential for timely medical intervention, with MRI medical imaging serving as a primary diagnostic tool. Machine learning (ML) and deep learning (DL) methods are increasingly utilized to analyze these images, but accurately distinguishing between healthy and diseased states remains a challenge. …”
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A computer vision and point cloud-based monitoring approach for automated construction tasks using full-scale robotized mobile cranes by Xiao Pan, Tony T. Y. Yang, Ruiwu Liu, Yifei Xiao, Fan Xie

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Research on Super-Resolution Reconstruction of Coarse Aggregate Particle Images for Earth–Rock Dam Construction Based on Real-ESRGAN by Shuangping Li, Lin Gao, Bin Zhang, Zuqiang Liu, Xin Zhang, Linjie Guan, Junxing Zheng

“…The paper utilizes a dual-stage degradation model to simulate the image degradation process in real-world environments, providing a diverse set of degraded images for training the super-resolution reconstruction model. …”
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Computer-Vision-Based Product Quality Inspection and Novel Counting System by Changhyun Lee, Yunsik Kim, Hunkee Kim

“…In this study, we aimed to enhance the accuracy of product quality inspection and counting in the manufacturing process by integrating image processing and human body detection algorithms. …”
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Enhanced rain removal network with convolutional block attention module (CBAM): a novel approach to image de-raining by Ping Jiang, Junzi Zhang, Jiejie Chen

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Integrating deformable CNN and attention mechanism into multi-scale graph neural network for few-shot image classification by Yongmin Liu, Fengjiao Xiao, Xinying Zheng, Weihao Deng, Haizhi Ma, Xinyao Su, Lei Wu

“…This method has limitations in capturing global feature information and easily ignores key feature information of the image. In order to extract comprehensive and critical feature information, a new CA-MFE algorithm is proposed. …”
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Image acquisition technology for unmanned aerial vehicles based on YOLO - Illustrated by the case of wind turbine blade inspection by Zhenjun Dai

“…For this purpose, the study aims to optimize the You Only Look Once (YOLO) processing algorithm for drone images to improve the detection efficiency. …”
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The Effectiveness of two Dimensional Haar Wavelet Image De-noising performance using Soft or Hard Thresholding Approach by Wesam Hujab Saood, Khamees Khalaf Hasan

“… Image de-noising and restoration represent basic problems in image processing with many different applications including engineering, reconstruction of missing data during their transmission and enhancement ..etc. this work is aimed at developing effective algorithm for denoising image using new strategy algorithm of wavelet techniques ,by applying two dimensions wavelet transform using Haar wavelet. …”
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A new classification algorithm for low concentration slurry based on machine vision by Chuanzhen Wang, Xinyi Wang, Andile Khumalo, Fengcheng Jiang, Jintao Lv

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Image Generation and Lesion Segmentation of Brain Tumors and Stroke Based on GAN and 3D ResU-Net by Mingkang Sun, Xiang Li, Weiye Sun

“…In recent years, with the development of medical image analysis, the image processing of brain tumor and stroke has been deeply studied. …”
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Improved Polar Current Shell Algorithm for Ocean Current Retrieval from X-Band Radar Data by Yi Li, Zhiding Yang, Weimin Huang

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Automatic Identification of Critical Damage Value with In-situ Shearing Test and Notched Plate Tensile Test with Image Analysis by Yoshida Yoshinori, Kutsukake Asuka

“…To validate fracture behavior, we perform in-situ shearing and tensile tests on notched steel plates, employing image analysis. In ADFEA, a machine-learning-based optimization algorithm searches for critical damage values by minimizing the error between simulated and experimental fracture test results. …”
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Design of a discrete сosine transformation processor for image compression systems on a losless-to-lossy circuit by V. V. Kliuchenia

“…Direct  and  inverse  transformation should be carried out according to the “whole-to-whole” processing scheme with preservation of the perfective reconstruction  of  the  original  image  (the  coefficients  are  represented  by  integer  or  binary  rational  numbers; the number of multiplication operations is minimal, if possible, they are excluded from the algorithm). …”
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Light scattering-based screening method for rapid evaluating antibiotic effects on bacteria using laser speckle imaging by Donghyeok Kim, Seongjoon Moon, Jongseo Lee, Kyoungman Cho, Changhan Lee, Jonghee Yoon

“…The LSI system utilizes an optical diffuser with controlled rotations to generate multiple independent speckle illumination patterns. The image processing algorithm analyzes correlation contrast in time-series laser speckle images, enabling more precise bacterial activity detection compared to conventional LSI techniques. …”
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The Automated Expert Support System for Optic Nerve Head Morphological Description by E. G. Tanaeva, R. G. Khafizov

“…On the basis of this algorithm the method for solving the following tasks of fundus image processing have been proposed: detecting of the optic nerve head border, method of the morphological description of the optic nerve head boundary, method of the determining the value of the disk excavation. …”
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Multiscale Eight Direction Descriptor-Based Improved SAR–SIFT Method for Along-Track and Cross-Track SAR Images by Wei Wang, Jinyang Chen, Zhonghua Hong

“…To improve efficiency, the method adopts the main and additional image overlapping area matching method to reduce the search range and uses multi-core CPU+GPU collaborative parallel computing to boost the efficiency of the SAR–SIFT algorithm by block processing the overlapping area. …”
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