Concrete Crack Detection Techniques Using Image Processing and Machine Learning Algorithms
Year: 2025
Type: article
Abstract: This project presents an intelligent system for detecting cracks in concrete structures using image processingtechniques combined with machine learning algorithms such as Support Vector Machine (SVM) andConvolutional Neural Networks (CNN). Developed in Python using the Visual Studio platform, the systempreprocesses input images through steps like gamma correction, grayscale conversion, and noise reduction toenhance crack visibility. It then uses SVM for binary classification of crack regions and a CNN model to improveprecision in localized patch-based crack detection. This approach automates structural inspection with highaccuracy and reliability.
Author: Rahul Mane, Sahil Salvi, Kanchan Tarade,Mrs. Supriya Sawant
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930918406
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