Showing 1 - 20 results of 3,701 for search '(( image processing algorithm ) OR ((( develop robust algorithm ) OR ( relevant data algorithm ))))', query time: 0.38s Refine Results
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    Image processing algorithm. by Madison Shoraka (22171205)

    Published 2025
    “…<p>This Matlab file contains all code used to run the image processing algorithm described in Sect <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013425#sec004" target="_blank">2.2</a>.…”
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    <b>A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention</b> by yizong wang (20387247)

    Published 2024
    “…Additionally, the inference speed increased by 14.6%, fully meeting the real-time requirements for detecting diseases in citrus fields and illustrating the effectiveness and advanced nature of the improved algorithm, thereby providing robust support for the rapid identification of diseases in the citrus cultivation process.…”
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    Enhancing the Robustness of Vehicle Re-Identification in Intelligent Transportation Systems by Mei Qiu (21081170)

    Published 2025
    “…</p><p><br></p><p dir="ltr">We developed a comprehensive data set generation pipeline that uses vehicle detection algorithms with confidence scores to select optimal Regions of Interest (ROI) for image cropping. …”
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    Quantitative results of three algorithms. by Zahoor Jan (20077515)

    Published 2025
    “…This technique uses UNet++ for pre-segmentation, followed by the marker watershed method, which has been integrated using ODE to deepen the segmentation process. This novel integration enhances clinical applications in automated blood cell analysis, diagnostic imaging, and disease monitoring, improving accuracy and robustness. …”
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    State-of-the-Art Skin Disease Classification Using Ensemble Learning and Advanced Image Processing by Nirupama (22148684)

    Published 2025
    “…The Crayfish Optimization Algorithm with a Reverse Wheel Strategy is applied for an effective feature segmentation, where the most relevant features are segmented. …”
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    Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

    Published 2025
    “…<p>The DullRazor algorithm systematically removes hair artifacts through a multi-step process: (1) converting the original hairy input image to grayscale, (2) applying a black hat filter to detect and isolate hair structures, (3) creating a binary mask of detected hair regions, and (4) removing hair regions and inpainting the underlying skin texture. …”
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