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  1. 121

    Improved self-calibration image enhancement algorithm based on attention mechanism and its application in maritime low-light images by Li SU, Shihao CUI

    Published 2025-06-01
    “…MethodAn attention mechanism is introduced to enhance the unevenly illuminated regions in low-light images to different degrees; an illumination adjustment module is constructed to secondary the intermediate outputs of the illumination learning process; a denoising module is introduced to ameliorate the problem of noise in dark regions being amplified with the enhancement of the brightness; and batch normalization (BN) is changed to batch channel normalization (BCN), which utilizes channel and batch dimensions to adaptively combine the normalized outputs. …”
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  2. 122

    Metode Otsu dan Mathematical Morphology Dalam Segmentasi Region Karakter Plat Nomor Kendaraan by Yovi Apridiansyah, Rozali Toyib, Ardi Wijaya

    Published 2022-06-01
    “…This mathematical morphology method serves to read the character value of each pixel in the digital image which produces a comparison between the pixels in the image, so morphology techniques are appropriate when used to perform image processing in obtaining the region of the vehicle number plate. …”
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    Efficient Brain Tumor Segmentation for MRI Images Using YOLO-BT by Mengying Xiong, Aiping Wu, Yue Yang, Qingqing Fu

    Published 2025-06-01
    “…The D-LKA mechanism is introduced into the C3k2 structure, and the large convolution kernel is used to process complex image information to enhance the model’s ability to characterize different scales and irregular tumors. …”
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  6. 126

    Delimitation of Landslide Areas in Optical Remote Sensing Images Across Regions via Deep Transfer Learning by Zan Wang, Shengwen Qi, Yu Han, Bowen Zheng, Yu Zou, Yue Yang

    Published 2024-01-01
    “…Mask R-CNN and U-Net are the two most popular deep learning frameworks for image segmentation in computer vision. In this study, we systematically compare and evaluate the performance and adaptability of the Mask R-CNN and the U-Net models for delimiting landslide areas in optical remote sensing images with various resolutions across regions using statistical metrics. …”
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    Multi‐stage image inpainting using improved partial convolutions by Cheng Li, Dan Xu, Hao Zhang

    Published 2024-10-01
    “…Abstract In recent years, deep learning models have dramatically influenced image inpainting. However, many existing studies still suffer from over‐smoothed or blurred textures when missing regions are large or contain rich visual details. …”
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    A Machine Vision Method for Detecting Pineapple Fruit Mechanical Damage by Jiahao Li, Baofeng Mai, Tianhu Liu, Zicheng Liu, Zhaozheng Liang, Shuyang Liu

    Published 2025-05-01
    “…To address these challenges, this paper proposes a pineapple mechanical damage detection method based on machine vision, which segments the damaged region and calculates its area using multiple image processing algorithms. …”
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    Cancers and Benign Processes on 68Ga PSMA PET-CT Imaging Other than Prostate Cancer by Pinar Pelin Ozcan, Mustafa Serdengectı, Zehra Pinar Koc, Yüksel Balcı, Mesut Tek, Murat Bozlu, Erdem Akbay, Vehbi Erçolak

    Published 2022-06-01
    “…Background Imaging plays an important role in the evaluation of prostate cancer patients. …”
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    Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

    Published 2025-06-01
    “…A series of modules for raster image processing was applied using scripting language of GRASS GIS to process the remote sensing data. …”
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  16. 136

    AFM Image Segmentation Based on Wave Growth of Local Maximum Regions with their Selection in Order of Decreasing Values by V. V. Rabtsevich, V. Y. Tsviatkou

    Published 2022-06-01
    “…Algorithms for growing regions without preliminary selection of the starting points of growth have the least computational complexity, but they segment the AFM image with a large error. …”
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    Face Detection in a Video File Based on Matching Face Template by Maha Hasso, Shahad Hasso

    Published 2013-07-01
    “…The algorithm depends on the usage of technique to detect human face and select it in the video after segment it to set of color images, the technique includes two steps for image processing The first is for building a model for skin color, and an outline of the distribution of color and isolate areas of skin and non skin within the image, then identify areas of the skin. …”
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