Showing 101 - 120 results of 821 for search '"image processing"', query time: 0.08s Refine Results
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    Building Crack Detection Based on Digital Image Processing Technology and Multiscale Feature Analysis Automatic Detection Algorithm by Chenguang Liu

    Published 2022-01-01
    “…This paper combines digital image processing technology and multiscale feature analysis automatic detection algorithm to construct an intelligent building structure crack detection system. …”
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    Article
  3. 103

    Application of Nonlinear Time-Fractional Partial Differential Equations to Image Processing via Hybrid Laplace Transform Method by B. A. Jacobs, C. Harley

    Published 2018-01-01
    “…An application to image processing via a finite-difference discretization is included in order to substantiate the application of this method.…”
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    Article
  4. 104

    Predicting the Elastic Modulus of Nanoparticle-Reinforced Polymer Matrix Composites Based on Digital Image Processing and Finite Elements by Zhenghong Jiang, Chunrong Zhou

    Published 2022-01-01
    “…The aim of this paper is to predict the elastic modulus of nanoparticle-reinforced polymer matrix composites based on digital image processing and finite elements and to investigate the presence of interfaces in three-phase particle-reinforced composites. …”
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    Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding by Nhat-Duc Hoang

    Published 2018-01-01
    “…This study establishes an intelligent model based on image processing techniques for automatic crack recognition and analyses. …”
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    Article
  7. 107

    Automated Tomato Leaf Disease Detection Using Image Processing: An SVM-Based Approach with GLCM and SIFT Features by Rashid Khan, Nasir Ud Din, Asim Zaman, Bingding Huang

    Published 2024-01-01
    “…To support specialists in accurately identifying and managing these diseases, we propose an advanced automatic system for detecting and identifying tomato leaf diseases using sophisticated image processing techniques. Therefore, we proposed an approach that employs robust feature extraction methods, including the gray level co-occurrence matrix (GLCM) and scale-invariant feature transform (SIFT), coupled with a support vector machine (SVM) for adequate classification. …”
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  8. 108

    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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