Pothole Detection Using Image Processing and Data Logging

Potholes are the main cause of accidents; it is crucial to identify and categorize them using image processing techniques. Different image pre-processing and segmentation methods for pothole detection were reviewed using performance measures. In this paper image pre-processing based on the difference of Gaussian-Filtering and clustering-based image segmentation methods are implemented for better outcome. According to the findings, edge detection-based segmentation is favoured for its specificity and K-Means clustering-based segmentation was selected for its quickest computation time. The primary objective of this study is to find a superior approach that is more precise and efficient than current methods.