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12. Application of Image Processing Techniques for Analyzing Strength of Concrete Structures—A Novel Approach

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

The chapter explores the transformative potential of image processing techniques in assessing the strength and health of concrete structures. It begins by outlining the challenges faced in traditional structural monitoring, such as the need for frequent, labor-intensive inspections and the limitations of sensor-based methods. The text then delves into the fundamentals of image processing, distinguishing between analog and digital techniques, and their respective advantages in structural analysis. A significant portion of the chapter is dedicated to structural health monitoring (SHM), discussing how image processing can be integrated with SHM to provide real-time, non-invasive assessments of structural integrity. The chapter also covers various image processing methods, including image enhancement, restoration, and segmentation, and their applications in detecting cracks and other structural anomalies. Case studies and research findings are presented to illustrate the effectiveness of these techniques in improving the safety and longevity of concrete structures. The chapter concludes by emphasizing the importance of image-based monitoring in modern infrastructure management, highlighting its potential to revolutionize the way structural health is assessed and maintained.

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Title
Application of Image Processing Techniques for Analyzing Strength of Concrete Structures—A Novel Approach
Authors
Navdeep Mor
Pawan Kumar
Madhu
Charity Aliyinza
Jamiu Ajibola Busari
Copyright Year
2025
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-8975-7_12
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