Pothole are the primary cause of accidents, hence identification and classification using image processing techniques is very important.
In this project, image pre-processing based on difference of Gaussian-Filtering and clustering based image segmentation methods are implemented for better results.
From the results the K-Means clustering based segmentation was preferred for its fastest computing time and edge detection based segmentation is preferred for its specificity.
The main goal of this project is to identify a better method which is highly efficient and accurate compared to the conventional methods.
Different image pre-processing and segmentation methods for pothole detection where reviewed using performance measures.