Showing 2,341 - 2,360 results of 20,631 for search '"Image"', query time: 0.10s Refine Results
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    A Morphological Model for Extracting Road Networks from High-Resolution Satellite Images by Mohamad M. Awad

    Published 2013-01-01
    “…The major steps in the model are the enhancement of the image, the segmentation of the enhanced image, the application of the morphological operators, and finally the extraction of the road network. …”
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    EFFICIENT RETINAL IMAGE SEGMENTATION BY U-NET FOR AGE-RELATED MACULAR DEGENERATION DIAGNOSIS by S Sujatha, Pramod Pandey, D Gnana Rajesh

    Published 2024-12-01
    Subjects: “…biomedical imaging, age-related macular degeneration, deep learning, image analysis, macular deterioration…”
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    Improving Medical Image Quality Using a Super-Resolution Technique with Attention Mechanism by Dong Yun Lee, Jang Yeop Kim, Soo Young Cho

    Published 2025-01-01
    “…Image quality plays a critical role in medical image analysis, significantly impacting diagnostic outcomes. …”
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    Biological Evaluation of Platinum(II) Sulfonamido Complexes: Synthesis, Characterization, Cytotoxicity, and Biological Imaging by Charini Maladeniya, Taniya Darshani, Sameera R. Samarakoon, Frank R. Fronczek, W. M. C. Sameera, Inoka C. Perera, Theshini Perera

    Published 2022-01-01
    “…Further, C1 and C2 showed significantly low IC50 values compared with N(SO2azobenz)dpa and PtCl2(N(SO2quin)dpa). Fluorescence imaging data of both ligands and complexes revealed the potential fluorescence activity of these compounds for biological imaging. …”
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    Imaging study of adult coccygeal morphology using direct digital radiography technology in China by Yingsen Pan, Feipeng Qin, Yi Shen, Ndalyolusha Tileinge Hapulile, Haoyang Zhang, Xin Ye, Shuailin Li, Xiaoming Li, Chao Yang, Xiang Zhou, Xiaoming Ying

    Published 2025-02-01
    “…Modified coccyx morphology classification was applied. Imaging focused on the type of coccyx and the number of coccygeal segments. …”
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    Research on agricultural IoT pest and disease image recognition algorithm based on STM32 by Botao XU, Xiang CHEN

    Published 2023-12-01
    “…In modern agriculture IoT systems, edge computing is an indispensable component.In this context, it is feasible to deploy lightweight pest and disease image recognition tasks on edge devices.However, due to the constraints of device computation and storage capabilities, this task faces significant challenges.To address these challenges, an economically practical method was proposed for pest and disease image recognition on STM32 edge devices.Specifically, the MobileNetv2 structure was improved to better suit the characteristics of STM32, quantization-aware training technique was used to compresses the network, model portability was enhanced.Meanwhile, the X-CUBE-AI was used to arrange the model and evaluate the performance.Experimental results demonstrate that the proposed model not only ensures image classification accuracy but also reduces the Flash and RAM resource consumption on STM32 compared to other lightweight networks.…”
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